cslt Wiki - 用户贡献 [zh-cn]

Schedule

2016-09-28T10:40:05Z

Lishiyao：

=NLP Schedule=

==Members==

===Current Members===

* Yang Feng (冯洋)
* Jiyuan Zhang （张记袁）
* Aodong Li (李傲冬)
* Andi Zhang (张安迪)
* Ziwei Bai （白子薇）
* Aiting Liu (刘艾婷)
* Shiyao Li （李诗瑶）
* Shiyue Zhang (张诗悦)

===Former Members===
* '''Chao Xing (邢超)''' : FreeNeb
* '''Rong Liu (刘荣)''' : 优酷
* '''Xiaoxi Wang (王晓曦)''' : 图灵机器人
* '''Xi Ma (马习)''' : 清华大学研究生
* '''Tianyi Luo (骆天一)''' ： phd candidate in University of California Santa Cruz
* '''Qixin Wang (王琪鑫)''' : MA candidate in University of California
* '''DongXu Zhang (张东旭)''': --
* '''Yiqiao Pan (潘一桥)''' ： MA candidate in University of Sydney

==Work Progress==
===Daily Report===

{|class="wikitable"
! Date !! Person !! start!! leave !! hours ||status
|-
| rowspan="4"|2016/09/01
|Aodong Li || || || ||
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang|| 9:30 || 18:00 || 7.5 || read papers about neural turing machine & memory networks
|-
|Shiyao Li || 11:40 || 18:00 || 5 || learn word2vec using tensorflow
|-
| rowspan="4"|2016/09/02
|Aodong Li || || || ||
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang|| 9:30 || 18:30 || 8 || continued reading papers got yesterday, mainly focus on the implementation of the models.
|-
|Shiyao Li || 9:30 || 18:30 || 8 || learn LSTM using tensorflow and get to know some applications about generating text and sequence
|-
| rowspan="4"|2016/09/05
|Aodong Li || 12:50 || 20:00 || 7 || Reconsider the rare word mechanism and do some experiments to try to reproduce the paper's method
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang || || || ||
|-
|Shiyao Li || || || ||
|-
| rowspan="5"|2016/09/06
|Aodong Li || 15:40 || 19:50 || 5 ||
*Do the baseline experiment but the performance is poor, so I may conduct it wrong
*Help Lantian for ICASSP with codes
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang || || || ||
|-
|Shiyao Li || || || ||
|-
|Shiyue Zhang || 14:30 || 20:00 || 5 ||
*Getting familiar with ASR engine and prepare for the document
|-
| rowspan="5"|2016/09/07
|Aodong Li || 14:10 || 20:50 || 6.5 ||
*Try different settings for rare word baseline experiment but still got wrong performance
*Read the paper "Pointing the unknown words"
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang || || || ||
|-
|Shiyao Li || || || ||
|-
|Shiyue Zhang || 9:30|| 19:30 ||8.5 ||
*Read ASR code and write the document
|-
| rowspan="5"|2016/09/08
|Aodong Li || || || ||
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang || || || ||
|-
|Shiyao Li || || || ||
|-
|Shiyue Zhang || 9:30|| 16:30 || 5 ||
*Read the paper "Neural Machine Translation By Jointly Learning"
|-
| rowspan="5"|2016/09/09
|Aodong Li || || || ||
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang || || || ||
|-
|Shiyao Li || || || ||
|-
|Shiyue Zhang || 14:00|| 19:30 || 5 ||
*Read the paper "Memory Networks" and finish the document
|-
| rowspan="5"|2016/09/10
|Aodong Li || || || ||
|-
|Ziwei Bai || 11:00 || 20:00 || 8 || test the chatting model 60-160
|-
|Andy Zhang || || || ||
|-
|Shiyao Li || || || ||
|-
|Shiyue Zhang || || || ||
|-
| rowspan="5"|2016/09/12
|Aodong Li || || || ||
|-
|Ziwei Bai || 9:15 || 18:15 || 8 || prepare for the slide for Chatting Model(CDSSM & NRM)
|-
|Andy Zhang || 9:15 || 18:30 || 8+ || prepared for the paper sharing
|-A
|Shiyao Li || 9:15 || 18:15 || 8 || read the paper Finding the Middle Ground-A Model for Planning Satisficing Answers
|-
|Shiyue Zhang || 9:00 || 20:00 || 9.5||
*Review the two papers I've read last week and ask questions
*Read the paper "Recurrent Neural Network Grammars"
|-
| rowspan="5"|2016/09/13
|Aodong Li || || || ||
|-
|Ziwei Bai || 9:20 || 18:20 || 8 ||
*install scrapy & beautifulSoup
*learn scrapy
|-
|Andy Zhang || 9:20 || 18:20 ||8 ||
*continue preparing for the paper sharing
*set up env for MemN2N code lua version(for language model)
|-A
|Shiyao Li || || || ||
|-
|Shiyue Zhang || 9:00 || 17:30 || 7.5||
*Review the paper "Recurrent Neural Network Grammars" and ask questions
*Try to run the code of RNNG
|-
| rowspan="5"|2016/09/14
|Aodong Li || || || ||
|-
|Ziwei Bai || 9:20 || 18:00 || 7+ ||try using scrapy download company public announcement from sina(170MB)
|-
|Andy Zhang || 9:20 || 18:20 || 8 ||
*tried to finish running the source code of MemN2N but it crashed
*tried to install torch on the server without root but failed
*will finish running the source code at home
|-
|Shiyao Li || 9:20 || 6:20 || 8||
*finish the ppt for paper sharing and pre-share it with Leader Feng
|-
|Shiyue Zhang |||| || ||

|-
| rowspan="5"|2016/09/15
|Aodong Li || || || ||
|-
|Ziwei Bai || 10:30 || 20:00|| 8.5||
*try using scrapy download 'data learn' and 'blog' from sina(115MB)
*realize renew automatically everyday
|-
|Andy Zhang || || || ||
|-
|Shiyao Li|||| || ||
|-
|Shiyue Zhang |||| || ||
|-
| rowspan="5"|2016/09/17
|Aodong Li || || || ||
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang || || || ||
|-
|Shiyao Li|||| || ||
|-
|Shiyue Zhang ||10:00 || 20:00 || 9 ||
* help Lantian, Wangyang and Zhiyuan to check papers
|-
| rowspan="5"|2016/09/18
|Aodong Li || || || ||
|-
|Ziwei Bai || 9:30 ||18:30 ||8 ||
*try using scrapy download 'Wall news' & 'zqsb'(400M)
|-
|Andy Zhang || 9:30 || 18:30 || 8 ||
*reviewed paper that is to be shared tomorrow
*tried to set the env for a c++ code but failed
|-
|Shiyao Li|| 9:30 || 6:30 || 8 ||
*review the non-parametric model written by Maoning Wang and learn about Latex
*help Wangyang check his paper's language problems
|-
|Shiyue Zhang || 14:30 || 20:00|| 5 ||
* help Wang Yang and Tang Zhiyuan to check papers
* try to understand and run the code of RNNG
|-
| rowspan="5"|2016/09/19
|Aodong Li || || || ||
|-
|Ziwei Bai || 9:20 ||18:30 ||8 ||
*continue download news(2G)
|-
|Andy Zhang || 9:20 || 18:30 || 8 ||
*set the env for rnng code
*shared a paper
|-
|Shiyao Li|| 9:20 || 18:30 || 8 ||
*share a paper
*keep understanding what Maoning Wang has written about Chapter 8
|-
|Shiyue Zhang || 9:00 || 19:30 || 9 ||
* Try to compile the rnng code, ask Zhiyong for help
|-
| rowspan="5"|2016/09/20
|Aodong Li || || || ||
|-
|Ziwei Bai || 9:10 || 15:40|| 5.5||
*modify the spider
|-
|Andy Zhang || 9:10 || 18:10 || 8||
*continue work on the env setting of rnng, had small progress, aborted it
*find several open sources of NTM
*read the source code of MemN2N in lua(torch)
|-
|Shiyao Li|| || || ||
|-
|Shiyue Zhang || 14:00 || 19:30 || 5.5 ||
* Compile the code successfully
* Try to run the code
|-
| rowspan="5"|2016/09/21
|Aodong Li || || || ||
|-
|Ziwei Bai || 13:00 ||22:00 ||8 ||
*spider QA(failed in zhihu)
|-
|Andy Zhang || 9:10 || 12:20 ||3 ||
*read the code of MemN2N in lua(torch)
|-
|Shiyao Li|| || || ||
|-
|Shiyue Zhang || 9:30 || 19:30 || 8.5 ||
* Run the code sucessfully using a fragment of data
* Try to format the whole dataset
|-
| rowspan="5"|2016/09/22
|Aodong Li || || || ||
|-
|Ziwei Bai || 10:20 || 22:20 ||11 ||
*sprder QA
|-
|Andy Zhang || 9:30 || 18:30 ||8 ||read source code of end2end memory network
|-
|Shiyao Li|| || || ||
|-
|Shiyue Zhang || 9:20 || 20:20 || 9 ||
*format the full version of data
*debug the discriminative model code
|-
| rowspan="5"|2016/09/23
|Aodong Li || || || ||
|-
|Ziwei Bai || 9:30 ||23:30 ||13||
*program script to test the chatting model
*spider QA from tianya (unsolved question)
*spider QA from zhihu.sogou.com(still run, but slow)
*filter the deteset for word vector
|-
|Andy Zhang || 9:20 || 18:20 ||8 ||
*managed to understand the source code
|-
|Shiyao Li|| || || ||
|-
|Shiyue Zhang || 14:30 || 20:00 || 5.5||
*run discriminative model, find there is one step missing, and ask author for missing code
*run generative model successfully, but need to run again on newly formated data
*reformat the data, stemming the nonterminal tokens
|-
| rowspan="5"|2016/09/24
|Aodong Li || || || ||
|-
|Ziwei Bai || 12:30 ||20:30 ||7||
|-
|Andy Zhang || || || ||
|-
|Shiyao Li|| || || ||
|-
|Shiyue Zhang || || ||||
|-
| rowspan="5"|2016/09/25
|Aodong Li || || || ||
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang || || || ||
|-
|Shiyao Li|| || || ||
|-
|Shiyue Zhang || 13:30 || 20:30 || 6 ||
*run the two models of rnng successfully
|-
| rowspan="5"|2016/09/26
|Aodong Li || || || ||
|-
|Ziwei Bai || 9:30 ||22:30 ||12 ||*spider news
|-
|Andy Zhang || 10:00 || 20:00 || 9||
*continued working on the source code
*ran memn2n several times, got a better result(closer to that in the paper)
|-
|Shiyao Li|| || || ||
|-
|Shiyue Zhang || 9:30 || 19:00 || 8.5 ||
*get the perfromance results of rnng, which agree with the original paper
*try to calculate the F1 score of generative model
|-
| rowspan="5"|2016/09/27
|Aodong Li || || || ||
|-
|Ziwei Bai || 9:40||21:40 ||11 || *spider news
|-
|Andy Zhang || 10:00 || 20:00 || 9||
*learnt torch
|-
|Shiyao Li|| || || ||
|-
|Shiyue Zhang || 14:10 || 20:10 || 5 ||
*get the mid states of discriminative model for memory network use
|-
| rowspan="5"|2016/09/28
|Aodong Li || || || ||
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang || || || ||
|-
|Shiyao Li|| 9:40 || 19:30 || 8 ||
*finish the writing of chapter8 and update it to cvs
|-
|Shiyue Zhang || || || ||
|-
}

===Monthly Summary===

{| class="wikitable"
!People!! Summary
|-
|Yang Feng ||
|-
|Jiyuan Zhang ||
|-
|Aodong Li ||
|-
|Ziwei Bai ||
|-
|Andy Zhang ||
|-
|Shiyao Li ||
|-
|Shiyue Zhang ||
|}

===Time Off Table===

{| class="wikitable"
! Date !! Yang Feng !! Jiyuan Zhang !! Aodong Li !! Ziwei Bai !! Andy Zhang !! Shiyao Li !! Shiyue Zhang
|-
|2016/09/08 || 8h || || || || || ||
|}

==Past progress==
[[nlp-progress 2016/08]]

[[nlp-progress 2016/05/01 -- 08/16 | nlp-progress 2016/05-07]]

[[nlp-progress 2016/04]]

Schedule

2016-09-28T10:38:41Z

Lishiyao：

=NLP Schedule=

==Members==

===Current Members===

* Yang Feng (冯洋)
* Jiyuan Zhang （张记袁）
* Aodong Li (李傲冬)
* Andi Zhang (张安迪)
* Ziwei Bai （白子薇）
* Aiting Liu (刘艾婷)
* Shiyao Li （李诗瑶）
* Shiyue Zhang (张诗悦)

===Former Members===
* '''Chao Xing (邢超)''' : FreeNeb
* '''Rong Liu (刘荣)''' : 优酷
* '''Xiaoxi Wang (王晓曦)''' : 图灵机器人
* '''Xi Ma (马习)''' : 清华大学研究生
* '''Tianyi Luo (骆天一)''' ： phd candidate in University of California Santa Cruz
* '''Qixin Wang (王琪鑫)''' : MA candidate in University of California
* '''DongXu Zhang (张东旭)''': --
* '''Yiqiao Pan (潘一桥)''' ： MA candidate in University of Sydney

==Work Progress==
===Daily Report===

{|class="wikitable"
! Date !! Person !! start!! leave !! hours ||status
|-
| rowspan="4"|2016/09/01
|Aodong Li || || || ||
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang|| 9:30 || 18:00 || 7.5 || read papers about neural turing machine & memory networks
|-
|Shiyao Li || 11:40 || 18:00 || 5 || learn word2vec using tensorflow
|-
| rowspan="4"|2016/09/02
|Aodong Li || || || ||
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang|| 9:30 || 18:30 || 8 || continued reading papers got yesterday, mainly focus on the implementation of the models.
|-
|Shiyao Li || 9:30 || 18:30 || 8 || learn LSTM using tensorflow and get to know some applications about generating text and sequence
|-
| rowspan="4"|2016/09/05
|Aodong Li || 12:50 || 20:00 || 7 || Reconsider the rare word mechanism and do some experiments to try to reproduce the paper's method
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang || || || ||
|-
|Shiyao Li || || || ||
|-
| rowspan="5"|2016/09/06
|Aodong Li || 15:40 || 19:50 || 5 ||
*Do the baseline experiment but the performance is poor, so I may conduct it wrong
*Help Lantian for ICASSP with codes
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang || || || ||
|-
|Shiyao Li || || || ||
|-
|Shiyue Zhang || 14:30 || 20:00 || 5 ||
*Getting familiar with ASR engine and prepare for the document
|-
| rowspan="5"|2016/09/07
|Aodong Li || 14:10 || 20:50 || 6.5 ||
*Try different settings for rare word baseline experiment but still got wrong performance
*Read the paper "Pointing the unknown words"
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang || || || ||
|-
|Shiyao Li || || || ||
|-
|Shiyue Zhang || 9:30|| 19:30 ||8.5 ||
*Read ASR code and write the document
|-
| rowspan="5"|2016/09/08
|Aodong Li || || || ||
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang || || || ||
|-
|Shiyao Li || || || ||
|-
|Shiyue Zhang || 9:30|| 16:30 || 5 ||
*Read the paper "Neural Machine Translation By Jointly Learning"
|-
| rowspan="5"|2016/09/09
|Aodong Li || || || ||
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang || || || ||
|-
|Shiyao Li || || || ||
|-
|Shiyue Zhang || 14:00|| 19:30 || 5 ||
*Read the paper "Memory Networks" and finish the document
|-
| rowspan="5"|2016/09/10
|Aodong Li || || || ||
|-
|Ziwei Bai || 11:00 || 20:00 || 8 || test the chatting model 60-160
|-
|Andy Zhang || || || ||
|-
|Shiyao Li || || || ||
|-
|Shiyue Zhang || || || ||
|-
| rowspan="5"|2016/09/12
|Aodong Li || || || ||
|-
|Ziwei Bai || 9:15 || 18:15 || 8 || prepare for the slide for Chatting Model(CDSSM & NRM)
|-
|Andy Zhang || 9:15 || 18:30 || 8+ || prepared for the paper sharing
|-A
|Shiyao Li || 9:15 || 18:15 || 8 || read the paper Finding the Middle Ground-A Model for Planning Satisficing Answers
|-
|Shiyue Zhang || 9:00 || 20:00 || 9.5||
*Review the two papers I've read last week and ask questions
*Read the paper "Recurrent Neural Network Grammars"
|-
| rowspan="5"|2016/09/13
|Aodong Li || || || ||
|-
|Ziwei Bai || 9:20 || 18:20 || 8 ||
*install scrapy & beautifulSoup
*learn scrapy
|-
|Andy Zhang || 9:20 || 18:20 ||8 ||
*continue preparing for the paper sharing
*set up env for MemN2N code lua version(for language model)
|-A
|Shiyao Li || || || ||
|-
|Shiyue Zhang || 9:00 || 17:30 || 7.5||
*Review the paper "Recurrent Neural Network Grammars" and ask questions
*Try to run the code of RNNG
|-
| rowspan="5"|2016/09/14
|Aodong Li || || || ||
|-
|Ziwei Bai || 9:20 || 18:00 || 7+ ||try using scrapy download company public announcement from sina(170MB)
|-
|Andy Zhang || 9:20 || 18:20 || 8 ||
*tried to finish running the source code of MemN2N but it crashed
*tried to install torch on the server without root but failed
*will finish running the source code at home
|-
|Shiyao Li || 9:20 || 6:20 || 8||
*finish the ppt for paper sharing and pre-share it with Leader Feng
|-
|Shiyue Zhang |||| || ||

|-
| rowspan="5"|2016/09/15
|Aodong Li || || || ||
|-
|Ziwei Bai || 10:30 || 20:00|| 8.5||
*try using scrapy download 'data learn' and 'blog' from sina(115MB)
*realize renew automatically everyday
|-
|Andy Zhang || || || ||
|-
|Shiyao Li|||| || ||
|-
|Shiyue Zhang |||| || ||
|-
| rowspan="5"|2016/09/17
|Aodong Li || || || ||
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang || || || ||
|-
|Shiyao Li|||| || ||
|-
|Shiyue Zhang ||10:00 || 20:00 || 9 ||
* help Lantian, Wangyang and Zhiyuan to check papers
|-
| rowspan="5"|2016/09/18
|Aodong Li || || || ||
|-
|Ziwei Bai || 9:30 ||18:30 ||8 ||
*try using scrapy download 'Wall news' & 'zqsb'(400M)
|-
|Andy Zhang || 9:30 || 18:30 || 8 ||
*reviewed paper that is to be shared tomorrow
*tried to set the env for a c++ code but failed
|-
|Shiyao Li|| 9:30 || 6:30 || 8 ||
*review the non-parametric model written by Maoning Wang and learn about Latex
*help Wangyang check his paper's language problems
|-
|Shiyue Zhang || 14:30 || 20:00|| 5 ||
* help Wang Yang and Tang Zhiyuan to check papers
* try to understand and run the code of RNNG
|-
| rowspan="5"|2016/09/19
|Aodong Li || || || ||
|-
|Ziwei Bai || 9:20 ||18:30 ||8 ||
*continue download news(2G)
|-
|Andy Zhang || 9:20 || 18:30 || 8 ||
*set the env for rnng code
*shared a paper
|-
|Shiyao Li|| 9:20 || 18:30 || 8 ||
*share a paper
*keep understanding what Maoning Wang has written about Chapter 8
|-
|Shiyue Zhang || 9:00 || 19:30 || 9 ||
* Try to compile the rnng code, ask Zhiyong for help
|-
| rowspan="5"|2016/09/20
|Aodong Li || || || ||
|-
|Ziwei Bai || 9:10 || 15:40|| 5.5||
*modify the spider
|-
|Andy Zhang || 9:10 || 18:10 || 8||
*continue work on the env setting of rnng, had small progress, aborted it
*find several open sources of NTM
*read the source code of MemN2N in lua(torch)
|-
|Shiyao Li|| || || ||
|-
|Shiyue Zhang || 14:00 || 19:30 || 5.5 ||
* Compile the code successfully
* Try to run the code
|-
| rowspan="5"|2016/09/21
|Aodong Li || || || ||
|-
|Ziwei Bai || 13:00 ||22:00 ||8 ||
*spider QA(failed in zhihu)
|-
|Andy Zhang || 9:10 || 12:20 ||3 ||
*read the code of MemN2N in lua(torch)
|-
|Shiyao Li|| || || ||
|-
|Shiyue Zhang || 9:30 || 19:30 || 8.5 ||
* Run the code sucessfully using a fragment of data
* Try to format the whole dataset
|-
| rowspan="5"|2016/09/22
|Aodong Li || || || ||
|-
|Ziwei Bai || 10:20 || 22:20 ||11 ||
*sprder QA
|-
|Andy Zhang || 9:30 || 18:30 ||8 ||read source code of end2end memory network
|-
|Shiyao Li|| || || ||
|-
|Shiyue Zhang || 9:20 || 20:20 || 9 ||
*format the full version of data
*debug the discriminative model code
|-
| rowspan="5"|2016/09/23
|Aodong Li || || || ||
|-
|Ziwei Bai || 9:30 ||23:30 ||13||
*program script to test the chatting model
*spider QA from tianya (unsolved question)
*spider QA from zhihu.sogou.com(still run, but slow)
*filter the deteset for word vector
|-
|Andy Zhang || 9:20 || 18:20 ||8 ||
*managed to understand the source code
|-
|Shiyao Li|| || || ||
|-
|Shiyue Zhang || 14:30 || 20:00 || 5.5||
*run discriminative model, find there is one step missing, and ask author for missing code
*run generative model successfully, but need to run again on newly formated data
*reformat the data, stemming the nonterminal tokens
|-
| rowspan="5"|2016/09/24
|Aodong Li || || || ||
|-
|Ziwei Bai || 12:30 ||20:30 ||7||
|-
|Andy Zhang || || || ||
|-
|Shiyao Li|| || || ||
|-
|Shiyue Zhang || || ||||
|-
| rowspan="5"|2016/09/25
|Aodong Li || || || ||
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang || || || ||
|-
|Shiyao Li|| || || ||
|-
|Shiyue Zhang || 13:30 || 20:30 || 6 ||
*run the two models of rnng successfully
|-
| rowspan="5"|2016/09/26
|Aodong Li || || || ||
|-
|Ziwei Bai || 9:30 ||22:30 ||12 ||*spider news
|-
|Andy Zhang || 10:00 || 20:00 || 9||
*continued working on the source code
*ran memn2n several times, got a better result(closer to that in the paper)
|-
|Shiyao Li|| || || ||
|-
|Shiyue Zhang || 9:30 || 19:00 || 8.5 ||
*get the perfromance results of rnng, which agree with the original paper
*try to calculate the F1 score of generative model
|-
| rowspan="5"|2016/09/27
|Aodong Li || || || ||
|-
|Ziwei Bai || 9:40||21:40 ||11 || *spider news
|-
|Andy Zhang || 10:00 || 20:00 || 9||
*learnt torch
|-
|Shiyao Li|| || || ||
|-
|Shiyue Zhang || 14:10 || 20:10 || 5 ||
*get the mid states of discriminative model for memory network use
|-
| rowspan="5"|2016/09/28
|Aodong Li || || || ||
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang || || || ||
|-
|Shiyao Li|| 9:40 || 19:30 || 8 ||
*finish the writing of chapter8 and update it to cvs
|-
|Shiyue Zhang || || || ||
|
}

===Monthly Summary===

{| class="wikitable"
!People!! Summary
|-
|Yang Feng ||
|-
|Jiyuan Zhang ||
|-
|Aodong Li ||
|-
|Ziwei Bai ||
|-
|Andy Zhang ||
|-
|Shiyao Li ||
|-
|Shiyue Zhang ||
|}

===Time Off Table===

{| class="wikitable"
! Date !! Yang Feng !! Jiyuan Zhang !! Aodong Li !! Ziwei Bai !! Andy Zhang !! Shiyao Li !! Shiyue Zhang
|-
|2016/09/08 || 8h || || || || || ||
|}

==Past progress==
[[nlp-progress 2016/08]]

[[nlp-progress 2016/05/01 -- 08/16 | nlp-progress 2016/05-07]]

[[nlp-progress 2016/04]]

Schedule

2016-09-28T10:37:55Z

Lishiyao：

=NLP Schedule=

==Members==

===Current Members===

* Yang Feng (冯洋)
* Jiyuan Zhang （张记袁）
* Aodong Li (李傲冬)
* Andi Zhang (张安迪)
* Ziwei Bai （白子薇）
* Aiting Liu (刘艾婷)
* Shiyao Li （李诗瑶）
* Shiyue Zhang (张诗悦)

===Former Members===
* '''Chao Xing (邢超)''' : FreeNeb
* '''Rong Liu (刘荣)''' : 优酷
* '''Xiaoxi Wang (王晓曦)''' : 图灵机器人
* '''Xi Ma (马习)''' : 清华大学研究生
* '''Tianyi Luo (骆天一)''' ： phd candidate in University of California Santa Cruz
* '''Qixin Wang (王琪鑫)''' : MA candidate in University of California
* '''DongXu Zhang (张东旭)''': --
* '''Yiqiao Pan (潘一桥)''' ： MA candidate in University of Sydney

==Work Progress==
===Daily Report===

{|class="wikitable"
! Date !! Person !! start!! leave !! hours ||status
|-
| rowspan="4"|2016/09/01
|Aodong Li || || || ||
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang|| 9:30 || 18:00 || 7.5 || read papers about neural turing machine & memory networks
|-
|Shiyao Li || 11:40 || 18:00 || 5 || learn word2vec using tensorflow
|-
| rowspan="4"|2016/09/02
|Aodong Li || || || ||
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang|| 9:30 || 18:30 || 8 || continued reading papers got yesterday, mainly focus on the implementation of the models.
|-
|Shiyao Li || 9:30 || 18:30 || 8 || learn LSTM using tensorflow and get to know some applications about generating text and sequence
|-
| rowspan="4"|2016/09/05
|Aodong Li || 12:50 || 20:00 || 7 || Reconsider the rare word mechanism and do some experiments to try to reproduce the paper's method
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang || || || ||
|-
|Shiyao Li || || || ||
|-
| rowspan="5"|2016/09/06
|Aodong Li || 15:40 || 19:50 || 5 ||
*Do the baseline experiment but the performance is poor, so I may conduct it wrong
*Help Lantian for ICASSP with codes
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang || || || ||
|-
|Shiyao Li || || || ||
|-
|Shiyue Zhang || 14:30 || 20:00 || 5 ||
*Getting familiar with ASR engine and prepare for the document
|-
| rowspan="5"|2016/09/07
|Aodong Li || 14:10 || 20:50 || 6.5 ||
*Try different settings for rare word baseline experiment but still got wrong performance
*Read the paper "Pointing the unknown words"
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang || || || ||
|-
|Shiyao Li || || || ||
|-
|Shiyue Zhang || 9:30|| 19:30 ||8.5 ||
*Read ASR code and write the document
|-
| rowspan="5"|2016/09/08
|Aodong Li || || || ||
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang || || || ||
|-
|Shiyao Li || || || ||
|-
|Shiyue Zhang || 9:30|| 16:30 || 5 ||
*Read the paper "Neural Machine Translation By Jointly Learning"
|-
| rowspan="5"|2016/09/09
|Aodong Li || || || ||
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang || || || ||
|-
|Shiyao Li || || || ||
|-
|Shiyue Zhang || 14:00|| 19:30 || 5 ||
*Read the paper "Memory Networks" and finish the document
|-
| rowspan="5"|2016/09/10
|Aodong Li || || || ||
|-
|Ziwei Bai || 11:00 || 20:00 || 8 || test the chatting model 60-160
|-
|Andy Zhang || || || ||
|-
|Shiyao Li || || || ||
|-
|Shiyue Zhang || || || ||
|-
| rowspan="5"|2016/09/12
|Aodong Li || || || ||
|-
|Ziwei Bai || 9:15 || 18:15 || 8 || prepare for the slide for Chatting Model(CDSSM & NRM)
|-
|Andy Zhang || 9:15 || 18:30 || 8+ || prepared for the paper sharing
|-A
|Shiyao Li || 9:15 || 18:15 || 8 || read the paper Finding the Middle Ground-A Model for Planning Satisficing Answers
|-
|Shiyue Zhang || 9:00 || 20:00 || 9.5||
*Review the two papers I've read last week and ask questions
*Read the paper "Recurrent Neural Network Grammars"
|-
| rowspan="5"|2016/09/13
|Aodong Li || || || ||
|-
|Ziwei Bai || 9:20 || 18:20 || 8 ||
*install scrapy & beautifulSoup
*learn scrapy
|-
|Andy Zhang || 9:20 || 18:20 ||8 ||
*continue preparing for the paper sharing
*set up env for MemN2N code lua version(for language model)
|-A
|Shiyao Li || || || ||
|-
|Shiyue Zhang || 9:00 || 17:30 || 7.5||
*Review the paper "Recurrent Neural Network Grammars" and ask questions
*Try to run the code of RNNG
|-
| rowspan="5"|2016/09/14
|Aodong Li || || || ||
|-
|Ziwei Bai || 9:20 || 18:00 || 7+ ||try using scrapy download company public announcement from sina(170MB)
|-
|Andy Zhang || 9:20 || 18:20 || 8 ||
*tried to finish running the source code of MemN2N but it crashed
*tried to install torch on the server without root but failed
*will finish running the source code at home
|-
|Shiyao Li || 9:20 || 6:20 || 8||
*finish the ppt for paper sharing and pre-share it with Leader Feng
|-
|Shiyue Zhang |||| || ||

|-
| rowspan="5"|2016/09/15
|Aodong Li || || || ||
|-
|Ziwei Bai || 10:30 || 20:00|| 8.5||
*try using scrapy download 'data learn' and 'blog' from sina(115MB)
*realize renew automatically everyday
|-
|Andy Zhang || || || ||
|-
|Shiyao Li|||| || ||
|-
|Shiyue Zhang |||| || ||
|-
| rowspan="5"|2016/09/17
|Aodong Li || || || ||
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang || || || ||
|-
|Shiyao Li|||| || ||
|-
|Shiyue Zhang ||10:00 || 20:00 || 9 ||
* help Lantian, Wangyang and Zhiyuan to check papers
|-
| rowspan="5"|2016/09/18
|Aodong Li || || || ||
|-
|Ziwei Bai || 9:30 ||18:30 ||8 ||
*try using scrapy download 'Wall news' & 'zqsb'(400M)
|-
|Andy Zhang || 9:30 || 18:30 || 8 ||
*reviewed paper that is to be shared tomorrow
*tried to set the env for a c++ code but failed
|-
|Shiyao Li|| 9:30 || 6:30 || 8 ||
*review the non-parametric model written by Maoning Wang and learn about Latex
*help Wangyang check his paper's language problems
|-
|Shiyue Zhang || 14:30 || 20:00|| 5 ||
* help Wang Yang and Tang Zhiyuan to check papers
* try to understand and run the code of RNNG
|-
| rowspan="5"|2016/09/19
|Aodong Li || || || ||
|-
|Ziwei Bai || 9:20 ||18:30 ||8 ||
*continue download news(2G)
|-
|Andy Zhang || 9:20 || 18:30 || 8 ||
*set the env for rnng code
*shared a paper
|-
|Shiyao Li|| 9:20 || 18:30 || 8 ||
*share a paper
*keep understanding what Maoning Wang has written about Chapter 8
|-
|Shiyue Zhang || 9:00 || 19:30 || 9 ||
* Try to compile the rnng code, ask Zhiyong for help
|-
| rowspan="5"|2016/09/20
|Aodong Li || || || ||
|-
|Ziwei Bai || 9:10 || 15:40|| 5.5||
*modify the spider
|-
|Andy Zhang || 9:10 || 18:10 || 8||
*continue work on the env setting of rnng, had small progress, aborted it
*find several open sources of NTM
*read the source code of MemN2N in lua(torch)
|-
|Shiyao Li|| || || ||
|-
|Shiyue Zhang || 14:00 || 19:30 || 5.5 ||
* Compile the code successfully
* Try to run the code
|-
| rowspan="5"|2016/09/21
|Aodong Li || || || ||
|-
|Ziwei Bai || 13:00 ||22:00 ||8 ||
*spider QA(failed in zhihu)
|-
|Andy Zhang || 9:10 || 12:20 ||3 ||
*read the code of MemN2N in lua(torch)
|-
|Shiyao Li|| || || ||
|-
|Shiyue Zhang || 9:30 || 19:30 || 8.5 ||
* Run the code sucessfully using a fragment of data
* Try to format the whole dataset
|-
| rowspan="5"|2016/09/22
|Aodong Li || || || ||
|-
|Ziwei Bai || 10:20 || 22:20 ||11 ||
*sprder QA
|-
|Andy Zhang || 9:30 || 18:30 ||8 ||read source code of end2end memory network
|-
|Shiyao Li|| || || ||
|-
|Shiyue Zhang || 9:20 || 20:20 || 9 ||
*format the full version of data
*debug the discriminative model code
|-
| rowspan="5"|2016/09/23
|Aodong Li || || || ||
|-
|Ziwei Bai || 9:30 ||23:30 ||13||
*program script to test the chatting model
*spider QA from tianya (unsolved question)
*spider QA from zhihu.sogou.com(still run, but slow)
*filter the deteset for word vector
|-
|Andy Zhang || 9:20 || 18:20 ||8 ||
*managed to understand the source code
|-
|Shiyao Li|| || || ||
|-
|Shiyue Zhang || 14:30 || 20:00 || 5.5||
*run discriminative model, find there is one step missing, and ask author for missing code
*run generative model successfully, but need to run again on newly formated data
*reformat the data, stemming the nonterminal tokens
|-
| rowspan="5"|2016/09/24
|Aodong Li || || || ||
|-
|Ziwei Bai || 12:30 ||20:30 ||7||
|-
|Andy Zhang || || || ||
|-
|Shiyao Li|| || || ||
|-
|Shiyue Zhang || || ||||
|-
| rowspan="5"|2016/09/25
|Aodong Li || || || ||
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang || || || ||
|-
|Shiyao Li|| || || ||
|-
|Shiyue Zhang || 13:30 || 20:30 || 6 ||
*run the two models of rnng successfully
|-
| rowspan="5"|2016/09/26
|Aodong Li || || || ||
|-
|Ziwei Bai || 9:30 ||22:30 ||12 ||*spider news
|-
|Andy Zhang || 10:00 || 20:00 || 9||
*continued working on the source code
*ran memn2n several times, got a better result(closer to that in the paper)
|-
|Shiyao Li|| || || ||
|-
|Shiyue Zhang || 9:30 || 19:00 || 8.5 ||
*get the perfromance results of rnng, which agree with the original paper
*try to calculate the F1 score of generative model
|-
| rowspan="5"|2016/09/27
|Aodong Li || || || ||
|-
|Ziwei Bai || 9:40||21:40 ||11 || *spider news
|-
|Andy Zhang || 10:00 || 20:00 || 9||
*learnt torch
|-
|Shiyao Li|| || || ||
|-
|Shiyue Zhang || 14:10 || 20:10 || 5 ||
*get the mid states of discriminative model for memory network use
|
|-
| rowspan="5"|2016/09/28
|Aodong Li || || || ||
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang || || || ||
|-
|Shiyao Li|| 9:40 || 19:30 || 8 ||
*finish the writing of chapter8 and update it to cvs
|-
|Shiyue Zhang || || || ||
}

===Monthly Summary===

{| class="wikitable"
!People!! Summary
|-
|Yang Feng ||
|-
|Jiyuan Zhang ||
|-
|Aodong Li ||
|-
|Ziwei Bai ||
|-
|Andy Zhang ||
|-
|Shiyao Li ||
|-
|Shiyue Zhang ||
|}

===Time Off Table===

{| class="wikitable"
! Date !! Yang Feng !! Jiyuan Zhang !! Aodong Li !! Ziwei Bai !! Andy Zhang !! Shiyao Li !! Shiyue Zhang
|-
|2016/09/08 || 8h || || || || || ||
|}

==Past progress==
[[nlp-progress 2016/08]]

[[nlp-progress 2016/05/01 -- 08/16 | nlp-progress 2016/05-07]]

[[nlp-progress 2016/04]]

Schedule

2016-09-25T12:20:29Z

Lishiyao：

=NLP Schedule=

==Members==

===Current Members===

* Yang Feng (冯洋)
* Jiyuan Zhang （张记袁）
* Aodong Li (李傲冬)
* Andi Zhang (张安迪)
* Ziwei Bai （白子薇）
* Aiting Liu (刘艾婷)
* Shiyao Li （李诗瑶）
* Shiyue Zhang (张诗悦)

===Former Members===
* '''Chao Xing (邢超)''' : FreeNeb
* '''Rong Liu (刘荣)''' : 优酷
* '''Xiaoxi Wang (王晓曦)''' : 图灵机器人
* '''Xi Ma (马习)''' : 清华大学研究生
* '''Tianyi Luo (骆天一)''' ： phd candidate in University of California Santa Cruz
* '''Qixin Wang (王琪鑫)''' : MA candidate in University of California
* '''DongXu Zhang (张东旭)''': --
* '''Yiqiao Pan (潘一桥)''' ： MA candidate in University of Sydney

==Work Progress==
===Daily Report===

{|class="wikitable"
! Date !! Person !! start!! leave !! hours ||status
|-
| rowspan="4"|2016/09/01
|Aodong Li || || || ||
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang|| 9:30 || 18:00 || 7.5 || read papers about neural turing machine & memory networks
|-
|Shiyao Li || 11:40 || 18:00 || 5 || learn word2vec using tensorflow
|-
| rowspan="4"|2016/09/02
|Aodong Li || || || ||
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang|| 9:30 || 18:30 || 8 || continued reading papers got yesterday, mainly focus on the implementation of the models.
|-
|Shiyao Li || 9:30 || 18:30 || 8 || learn LSTM using tensorflow and get to know some applications about generating text and sequence
|-
| rowspan="4"|2016/09/05
|Aodong Li || 12:50 || 20:00 || 7 || Reconsider the rare word mechanism and do some experiments to try to reproduce the paper's method
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang || || || ||
|-
|Shiyao Li || || || ||
|-
| rowspan="5"|2016/09/06
|Aodong Li || 15:40 || 19:50 || 5 ||
*Do the baseline experiment but the performance is poor, so I may conduct it wrong
*Help Lantian for ICASSP with codes
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang || || || ||
|-
|Shiyao Li || || || ||
|-
|Shiyue Zhang || 14:30 || 20:00 || 5 ||
*Getting familiar with ASR engine and prepare for the document
|-
| rowspan="5"|2016/09/07
|Aodong Li || 14:10 || 20:50 || 6.5 ||
*Try different settings for rare word baseline experiment but still got wrong performance
*Read the paper "Pointing the unknown words"
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang || || || ||
|-
|Shiyao Li || || || ||
|-
|Shiyue Zhang || 9:30|| 19:30 ||8.5 ||
*Read ASR code and write the document
|-
| rowspan="5"|2016/09/08
|Aodong Li || || || ||
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang || || || ||
|-
|Shiyao Li || || || ||
|-
|Shiyue Zhang || 9:30|| 16:30 || 5 ||
*Read the paper "Neural Machine Translation By Jointly Learning"
|-
| rowspan="5"|2016/09/09
|Aodong Li || || || ||
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang || || || ||
|-
|Shiyao Li || || || ||
|-
|Shiyue Zhang || 14:00|| 19:30 || 5 ||
*Read the paper "Memory Networks" and finish the document
|-
| rowspan="5"|2016/09/10
|Aodong Li || || || ||
|-
|Ziwei Bai || 11:00 || 20:00 || 8 || test the chatting model 60-160
|-
|Andy Zhang || || || ||
|-
|Shiyao Li || || || ||
|-
|Shiyue Zhang || || || ||
|-
| rowspan="5"|2016/09/12
|Aodong Li || || || ||
|-
|Ziwei Bai || 9:15 || 18:15 || 8 || prepare for the slide for Chatting Model(CDSSM & NRM)
|-
|Andy Zhang || 9:15 || 18:30 || 8+ || prepared for the paper sharing
|-A
|Shiyao Li || 9:15 || 18:15 || 8 || read the paper Finding the Middle Ground-A Model for Planning Satisficing Answers
|-
|Shiyue Zhang || 9:00 || 20:00 || 9.5||
*Review the two papers I've read last week and ask questions
*Read the paper "Recurrent Neural Network Grammars"
|-
| rowspan="5"|2016/09/13
|Aodong Li || || || ||
|-
|Ziwei Bai || 9:20 || 18:20 || 8 ||
*install scrapy & beautifulSoup
*learn scrapy
|-
|Andy Zhang || 9:20 || 18:20 ||8 ||
*continue preparing for the paper sharing
*set up env for MemN2N code lua version(for language model)
|-A
|Shiyao Li || || || ||
|-
|Shiyue Zhang || 9:00 || 17:30 || 7.5||
*Review the paper "Recurrent Neural Network Grammars" and ask questions
*Try to run the code of RNNG
|-
| rowspan="5"|2016/09/14
|Aodong Li || || || ||
|-
|Ziwei Bai || 9:20 || 18:00 || 7+ ||try using scrapy download company public announcement from sina(170MB)
|-
|Andy Zhang || 9:20 || 18:20 || 8 ||
*tried to finish running the source code of MemN2N but it crashed
*tried to install torch on the server without root but failed
*will finish running the source code at home
|-
|Shiyao Li || 9:20 || 6:20 || 8||
*finish the ppt for paper sharing and pre-share it with Leader Feng
|-
|Shiyue Zhang |||| || ||

|-
| rowspan="5"|2016/09/15
|Aodong Li || || || ||
|-
|Ziwei Bai || 10:30 || 20:00|| 8.5||
*try using scrapy download 'data learn' and 'blog' from sina(115MB)
*realize renew automatically everyday
|-
|Andy Zhang || || || ||
|-
|Shiyao Li|||| || ||
|-
|Shiyue Zhang |||| || ||
|-
| rowspan="5"|2016/09/17
|Aodong Li || || || ||
|-
|Ziwei Bai || || || ||
|-
|Andy Zhang || || || ||
|-
|Shiyao Li|||| || ||
|-
|Shiyue Zhang ||10:00 || 20:00 || 9 ||
* help Lantian, Wangyang and Zhiyuan to check papers
|-
| rowspan="5"|2016/09/18
|Aodong Li || || || ||
|-
|Ziwei Bai || 9:30 ||18:30 ||8 ||
*try using scrapy download 'Wall news' & 'zqsb'(400M)
|-
|Andy Zhang || 9:30 || 18:30 || 8 ||
*reviewed paper that is to be shared tomorrow
*tried to set the env for a c++ code but failed
|-
|Shiyao Li|| 9:30 || 6:30 || 8 ||
*review the non-parametric model written by Maoning Wang and learn about Latex
*help Wangyang check his paper's language problems
|-
|Shiyue Zhang || 14:30 || 20:00|| 5 ||
* help Wang Yang and Tang Zhiyuan to check papers
* try to understand and run the code of RNNG
|-
| rowspan="5"|2016/09/19
|Aodong Li || || || ||
|-
|Ziwei Bai || 9:20 ||18:30 ||8 ||
*continue download news(2G)
|-
|Andy Zhang || 9:20 || 18:30 || 8 ||
*set the env for rnng code
*shared a paper
|-
|Shiyao Li|| 9:20 || 18:30 || 8 ||
*share a paper
*keep understanding what Maoning Wang has written about Chapter 8
|-
|Shiyue Zhang || 9:00 || 19:30 || 9 ||
* Try to compile the rnng code, ask Zhiyong for help
|-
| rowspan="5"|2016/09/20
|Aodong Li || || || ||
|-
|Ziwei Bai || 9:10 || 15:40|| 5.5||
*modify the spider
|-
|Andy Zhang || 9:10 || 18:10 || 8||
*continue work on the env setting of rnng, had small progress, aborted it
*find several open sources of NTM
*read the source code of MemN2N in lua(torch)
|-
|Shiyao Li|| || || ||
|-
|Shiyue Zhang || 14:00 || 19:30 || 5.5 ||
* Compile the code successfully
* Try to run the code
|-
| rowspan="5"|2016/09/21
|Aodong Li || || || ||
|-
|Ziwei Bai || 13:00 ||22:00 ||8 ||
*spider QA(failed in zhihu)
|-
|Andy Zhang || 9:10 || 12:20 ||3 ||
*read the code of MemN2N in lua(torch)
|-
|Shiyao Li|| || || ||
|-
|Shiyue Zhang || 9:30 || 19:30 || 8.5 ||
* Run the code sucessfully using a fragment of data
* Try to format the whole dataset
|-
| rowspan="5"|2016/09/22
|Aodong Li || || || ||
|-
|Ziwei Bai || 10:20 || 22:20 ||11 ||
*sprder QA
|-
|Andy Zhang || 9:30 || 18:30 ||8 ||read source code of end2end memory network
|-
|Shiyao Li|| || || ||
|-
|Shiyue Zhang || 9:20 || 20:20 || 9 ||
*format the full version of data
*debug the discriminative model code
|-
| rowspan="5"|2016/09/23
|Aodong Li || || || ||
|-
|Ziwei Bai || 9:30 ||23:30 ||13||
*program script to test the chatting model
*spider QA from tianya (unsolved question)
*spider QA from zhihu.sogou.com(still run, but slow)
*filter the deteset for word vector
|-
|Andy Zhang || 9:20 || 18:20 ||8 ||
*managed to understand the source code
|-
|Shiyao Li|| || || ||
|-
|Shiyue Zhang || 14:30 || 20:00 || 5.5||
*run discriminative model, find there is one step missing, and ask author for missing code
*run generative model successfully, but need to run again on newly formated data
*reformat the data, stemming the nonterminal tokens
|-
| rowspan="5"|2016/09/24
|Aodong Li || || || ||
|-
|Ziwei Bai || 12:30 || ||||
|-
|Andy Zhang || || || ||
|-
|Shiyao Li|| || || ||
|-
|Shiyue Zhang || || ||||
|}

===Monthly Summary===

{| class="wikitable"
!People!! Summary
|-
|Yang Feng ||
|-
|Jiyuan Zhang ||
|-
|Aodong Li ||
|-
|Ziwei Bai ||
|-
|Andy Zhang ||
|-
|Shiyao Li ||
|-
|Shiyue Zhang ||
|}

===Time Off Table===

{| class="wikitable"
! Date !! Yang Feng !! Jiyuan Zhang !! Aodong Li !! Ziwei Bai !! Andy Zhang !! Shiyao Li !! Shiyue Zhang
|-
|2016/09/08 || 8h || || || || || ||
|}

==Past progress==
[[nlp-progress 2016/08]]

[[nlp-progress 2016/05/01 -- 08/16 | nlp-progress 2016/05-07]]

[[nlp-progress 2016/04]]

Reading table

2016-09-19T07:05:34Z

Lishiyao：

{| class="wikitable"
! Date !! Speaker!! Materials
|-
| rowspan="1"|2014/10/22 ||Zhang Dong Xu|| Why RNN? [[媒体文件:Why_LSTM.pdf|PPT]] [[媒体文件:Learning_Long-Term_Dependencies_with_Gradient_Descent_is_Difficult.pdf|paper 1]],[[媒体文件:LongShortTermMemory.pdf|paper 2]]
|-
| rowspan="3"| 2014/12/8 || rowspan='3'|Liu Rong || Yu Zhao, Zhiyuan Liu, Maosong Sun. Phrase Type Sensitive Tensor Indexing Model for Semantic Composition. AAAI'15. [http://nlp.csai.tsinghua.edu.cn/~lzy/publications/aaai2015_tim.pdf pdf]
|-
| Yang Liu, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun. Topical Word Embeddings. AAAI'15. [http://nlp.csai.tsinghua.edu.cn/~lzy/publications/aaai2015_twe.pdf pdf][https://github.com/largelymfs/topical_word_embeddings code]
|-
| Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, Xuan Zhu. Learning Entity and Relation Embeddings for Knowledge Graph Completion. AAAI'15. [http://nlp.csai.tsinghua.edu.cn/~lzy/publications/aaai2015_transr.pdf pdf][https://github.com/mrlyk423/relation_extraction code]

|-
|2015/07/10 ||Liu Rong||
*Context-Dependent Translation Selection Using Convolutional Neural Network [http://arxiv.org/abs/1503.02357]
*Syntax-based Deep Matching of Short Texts [http://arxiv.org/abs/1503.02427]
*Convolutional Neural Network Architectures for Matching Natural Language Sentences[http://www.hangli-hl.com/uploads/3/1/6/8/3168008/hu-etal-nips2014.pdf]
*LSTM: A Search Space Odyssey [http://arxiv.org/pdf/1503.04069.pdf]
*A Deep Embedding Model for Co-occurrence Learning [http://arxiv.org/abs/1504.02824]
*Text segmentation based on semantic word embeddings[http://arxiv.org/abs/1503.05543]
*semantic parsing via paraphrashings[http://www.cs.tau.ac.il/research/jonathan.berant/homepage_files/publications/ACL14.pdf]
|-
|-
|2015/07/22 ||Dong Wang||
*From Word Embeddings To Document Distances [http://jmlr.org/proceedings/papers/v37/kusnerb15.pdf pdf]
*[[Asr-read-icml|Reading list for ICML2015]]
|-
|2015/07/29 ||Xiaoxi Wang||
* Sequence to Sequence Learning with Neural Networks [http://papers.nips.cc/paper/5346-information-based-learning-by-agents-in-unbounded-state-spaces pdf]
* Neural Machine Translation by Jointly Learning to Align and Translate [http://arxiv.org/abs/1409.0473 pdf]
|-
|2015/08/05 ||Tianyi Luo||
* A Hierarchical Knowledge Representation for Expert Finding on Social Media(ACL 2015 short paper) [[http://aclanthology.info/papers/a-hierarchical-knowledge-representation-for-expert-finding-on-social-media pdf]]
|-
|2015/08/05 ||Dongxu Zhang||
* Describing Multimedia Content using Attention-based Encoder-Decoder Networks[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/e/e0/Describing_Multimedia_Content_using_Attention-based_Encoder-Decoder_Networks.pdf]
* Attention-Based Models for Speech Recognition[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/58/Attention-Based_Models_for_Speech_Recognition.pdf] details in speech recognition.
* Neural Machine Translation by Joint Learning to Align and Translate[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c3/Neural_Machine_Translation_by_Joint_Learning_to_Align_and_Translate.pdf] details in machine translation.
|-
|2015/08/07 ||Chao Xing||
* Neural Word Embedding as Implicit Matrix Factorization [[http://papers.nips.cc/paper/5477-neural-word-embedding-as-implicit-matrix-factorization.pdf pdf]]
* Matrix factorization techniques for recommender systems [[http://www.columbia.edu/~jwp2128/Teaching/W4721/papers/ieeecomputer.pdf]]
|-
|2015/10/14 ||Tianyi Luo, Dongxu Zhang, Chao Xing||
* MEMORY NETWORKS(ICLR 2015) [[http://arxiv.org/pdf/1410.3916v10.pdf pdf]]
* End-To-End Memory Networks(NIPS 2015) [[http://arxiv.org/pdf/1503.08895v4.pdf pdf]]
|-
|2015/10/20 ||Tianyi Luo, Xiaoxi Wang||
* The Kendall and Mallows Kernels for Permutations (ICML 2015) [[http://jmlr.csail.mit.edu/proceedings/papers/v37/jiao15.pdf pdf]]
* The ordering of expression among a few genes can provide simple cancer biomarkers and signal BRCA1 mutations (BMC Bioinformatics) [[http://www.biomedcentral.com/content/pdf/1471-2105-10-256.pdf pdf]]
* Reasoning about Entailment with Neural Attention [[http://arxiv.org/pdf/1509.06664v1.pdf pdf]]
|-
|2015/10/28 ||Lantian Li||
* Binary Code Ranking with Weighted Hamming Distance [[http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Zhang_Binary_Code_Ranking_2013_CVPR_paper.pdf pdf]]
|-
|2015/11/05 || Chao Xing, Xiaoxi Wang||
* Generative Image Modeling Using Spatial LSTMs [[http://arxiv.org/pdf/1506.03478v2.pdf pdf]]
* Character-level Convolutional Networks for Text Classification [[http://arxiv.org/pdf/1509.01626.pdf pdf]]
|-
|2015/11/20 || qixinWang||
* Are You Talking to a Machine? [[http://arxiv.org/pdf/1505.05612v3.pdf pdf]]
* m-RNN [[http://arxiv.org/pdf/1412.6632v5.pdf pdf]]
* PresentationPPT [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/93/PresentationPaper--QixinWang20151120.pdf pdf]]
|-
|2015/11/27 || Xiaoxi Wang||
* NEURAL PROGRAMMER-INTERPRETERS [[http://arxiv.org/pdf/1511.06279v2.pdf pdf]]
* Subset Selection by Pareto Optimization [[http://www.researchgate.net/profile/Yang_Yu87/publication/282632653_Subset_Selection_by_Pareto_Optimization/links/561495d908aed47facee68b5.pdf pdf]]
|-
|-
|2015/11/27 || Chao Xing ||
*Random Walks and Neural Network Language Models [[http://www.aclweb.org/anthology/N15-1165 pdf]]
*SENSEMBED: Learning Sense Embeddings forWord and Relational Similarity[[http://wwwusers.di.uniroma1.it/~navigli/pubs/ACL_2015_Iacobaccietal.pdf pdf]]
|-
|-
|2015/12/4 || Dongxu Zhang, Qixin Wang, Chao Xing ||
*Building a shared world: Mapping distributional to model-theoretic semantic spaces[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/da/Building_a_shared_world.pdf pdf]]
*Playing Atari with Deep Reinforcement Learning[[http://arxiv.org/pdf/1312.5602v1.pdf pdf]]
*Word Embedding Revisited A New Representation Learning and Explicit Matrix Factorization Perspective [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/4/45/Report-1.pdf pdf]]
|-
|-
|2015/12/11 || Chao Xing, Yiqiao Pan ||
*Semi-Supervised Word Sense Disambiguation Using Word Embeddings in General and Specific Domains [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/57/Report-12-11-02.pdf pdf]]
*SENSE2VEC - A FAST AND ACCURATE METHOD FOR WORD SENSE DISAMBIGUATION IN NEURAL WORD EMBEDDINGS [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/f0/Report-12-11-03.pdf pdf]]
*Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space[[http://arxiv.org/pdf/1504.06654v1.pdf pdf]]
*Distributional Semantics in Use[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/97/Report-12-11-01.pdf pdf]]
|-
|-
|2015/12/18 || Tianyi Luo, Dongxu Zhang ||
*Human-level concept learning through probabilistic program induction(Cognitive Science) [[http://cdn1.almosthuman.cn/wp-content/uploads/2015/12/Human-level-concept-learning-through-probabilistic-program-induction.pdf pdf]]
*Cluster Analysis of Heterogeneous Rank Data(ICML 2007) [[http://machinelearning.wustl.edu/mlpapers/paper_files/icml2007_BusseOB07.pdf pdf]]
*Building a shared world: Mapping distributional to model-theoretic semantic spaces[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/da/Building_a_shared_world.pdf pdf]]
|-
|-
|2015/12/25 || Dongxu zhang, Qixin Wang ||
*Exploiting Multiple Sources for Open-domain Hypernym Discovery[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/d1/Exploiting_Multiple_Sources_for_Open-domain_Hypernym_Discovery.pdf]]
*learning semantic hierarchies via word embeddings[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/4/4f/Learning_semantic_hierarchies_via_word_embeddings_acl2014.pdf]]
|-
|-
|2015/12/31 || Xiaoxi Wang， Chao Xing||
* Multilingual Language Processing From Bytes [[http://arxiv.org/pdf/1512.00103v1.pdf pdf]]
* Towards universal neural nets: Gibbs machines and ACE. [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/3/3b/Report-12-31.pdf pdf]]
|-
|-
|2016/1/8 || Qixin Wang， Tianyi Luo||
*Unveiling the Dreams of Word Embeddings: Towards Language-Driven Image Generation[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/a/a1/Unveiling_the_Dreams_of_Word_Embeddings-_Towards_Language-Driven_Image_Generation.pdf pdf]]
*Generating Chinese Couplets using a Statistical MT Approach[[http://aclweb.org/anthology/C/C08/C08-1048.pdf pdf]]
*Generating Chinese Classical Poems with Statistical Machine Translation Models[[http://www.aaai.org/ocs/index.php/AAAI/AAAI12/paper/viewFile/4753/5314 pdf]]
*Chinese Poetry Generation with Recurrent Neural Networks[[http://www.aclweb.org/old_anthology/D/D14/D14-1074.pdf pdf]]
|-
|2016/1/15 || Chao Xing||
*Learning from Chris Dyer [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/cd/Learning_From_Chris_Dyer.pptx ppt]]
*Learning Word Representations with Hierarchical Sparse Coding [[http://arxiv.org/pdf/1406.2035v2.pdf pdf]]
*Non-distributional Word Vector Representations [[http://www.cs.cmu.edu/~mfaruqui/papers/acl15-nondist.pdf pdf]]
*Sparse Overcomplete Word Vector Representations [[http://www.cs.cmu.edu/~mfaruqui/papers/acl15-overcomplete.pdf pdf]]
|-
|2016/1/22 || Qixin Wang, Tianyi Luo||
*Skip_thought_vector [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/a/aa/Skip_thought_vector.pdf pdf]]
|-
|2016/1/29 || Dongxu Zhang||
*Towards Neural Network-based Reasoning[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/cb/Towards_Neural_Network-based_Reasoning.pdf]]
|-
|2016/3/25 || Jiyuan Zhang||
*Modeling Temporal Dependencies in High-Dimensional Sequences:Application to Polyphonic Music Generation and Transcription[[http://www-etud.iro.umontreal.ca/~boulanni/ICML2012.pdf pdf]]
*Composing Music With Recurrent Neural Networks[[http://www.hexahedria.com/2015/08/03/composing-music-with-recurrent-neural-networks/ blog]]
|-
|2016/4/1 || Chao Xing||
*Generating Text with Deep Reinforcement Learning[[http://arxiv.org/pdf/1510.09202v1.pdf pdf]]
|-
|2016/4/8 || Tianyi Luo||
*Generating Chinese Classical Poems with RNN[[http://nlp.hivefire.com/articles/share/56982/]]
|-
|2016/4/28 || Chao Xing||
*Knowledge Base Completion via Search-Based Question Answering [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/b1/Knowledge_Base_Completion_via_Search-Based_Question_Answering_-_Report.pdf]]
*Open Domain Question Answering via Semantic Enrichment [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/1/15/Open_Domain_Question_Answering_via_Semantic_Enrichment_-_Report.pdf]]
*A Neural Conversational Model [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/1/15/A_Neural_Conversational_Model_-_Report.pdf]]
|-
|2016/5/11 || Chao Xing||
*A Hierarchical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion
*A Neural Network Approach to Context-Sensitive Generation of Conversational Responses
*Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models
*Neural Responding Machine for Short-Text Conversation
*Learning from Real Users Rating Dialogue Success with Neural Networks for Reinforcement Learning in Spoken Dialogue Systems
|-
|2016/7/28 || Aiting Liu ||
*Intrinsic Subspace Evaluation of Word Embedding Representations [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/68/Intrinsic_Subspace_Evaluation_of_Word_Embedding_Representations.pdf pdf]]
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/1/17/Intrinsic_Subspace_Evaluation_of_Word_Embedding_Representations.pptx slides]]
|-
|2016/8/4 ||
* Aodong Li
* Jiyuan Zhang
* Andi Zhang
||
*On the Role of Seed Lexicons in Learning Bilingual Word Embeddings [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/5b/On_the_Role_of_Seed_Lexicons_in_Learning_Bilingual_Word_Embeddings.pdf pdf]] [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/51/2.0On_the_Role_of_Seed_Lexicons_in_Learning_Bilingual_Word_Embeddings_.pdf slides]]
*ABCNN- Attention-Based Convolutional Neural Network for Modeling Sentence Pairs
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/7/76/ABCNN-_Attention-Based_Convolutional_Neural_Network_for_Modeling_Sentence_Pairs_.pdf pdf]]
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/0/0d/Attention-Based_Convolutianal_Neural_Network_for_Modeling_Sentence_Pairs.pptx slides]]
*[[Tutorial]]: Introduction to different LMs: NNLM, RNNLM, continuous bag of words, skip-gram
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/da/Models_for_computing_continuous_vector_representations_of_words.pdf slides]]
|-
|2016/8/18 ||
* Shiyao Li
* Aiting Liu
||
*Multilingual part-of-speech tagging with bidirectional long short-term memory models and auxiliary loss
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/a/a4/Multilingual_part-of-speech_tagging_with_bidirectional_long_short-term_memory_models_and_auxiliary_loss.pdf pdf]]
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c5/Multilingual_Part-of-Speech_Tagging_with.pdf slides]]
*A Sentence Interaction Network for Modeling Dependence between Sentences
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/0/04/A_Sentence_Interaction_Network_for_Modeling_Dependence_between_Sentences.pdf pdf]]
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/6c/A_Sentence_Interaction_Network_for_Modeling_Dependence_between_Sentences.pptx slides]]
|-
|2016/8/25 ||
* Ziwei Bai
||
*[[Tutorial]]: Tensorflow guidelines and some examples
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/3/32/Tensor_flow_bai.pdf slides]]
|-
|2016/8/26 ||
* Jiyuan Zhang
* Shiyao Li
||
*[[Tutorial]]: Introduction to GRU, LSTM, RBM [[http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/%E6%96%87%E4%BB%B6:An_overview_of_LSTM,GRU,RBM.pptx slides]]
* [[Tutorial]] : Linear Algebra, Probability and Information Basics
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/f1/LinearAlgebra.pdf LinearAlgebra]]
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/97/ProbilityTheoryandInformationTheory.pdf ProbabilityAndInformationTheory]]
|-
|2016/9/9 ||
* Aodong Li
||
*Pointing the Unknown Words [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c7/Pointing_the_Unknown_Words.pdf pdf]]
|-
|2016/9/18 ||
* Andy Zhang
*Shiyao Li
*Aodong Li
||
*Large-Scale Information Extraction from Textual Definitions through Deep Syntactic and Semantic Analysis [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/0/04/Large-Scale_Information_Extraction_from_Textual_Definitions_through_Deep_Syntactic_and_Semantic_Analysis.pdf pdf]][[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/8/80/Large-scale_information_extraction_from_textual_definitions_through_deep_syntactic_and_semantic_analysis.pdf slides]]
*Finding the Middle Ground - A Model for Planning Satisficing Answers [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/b3/Finding_the_Middle_Ground_-_A_Model_for_Planning_Satisficing_Answers.pdf pdf]]
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/4/44/Finding_the_Middle_Ground.pdf slides]]
*Compressing Neural Language Models by Sparse Word Representations [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/b6/Compressing_Neural_Language_Models_by_Sparse_Word_Representations.pdf pdf]]
|}

文件:Finding the Middle Ground.pdf

2016-09-19T07:03:57Z

Lishiyao：

NLP Status Report 2016-09-19

2016-09-19T05:59:50Z

Lishiyao：

{| class="wikitable"
!Date !! People !! Last Week !! This Week
|-
| rowspan="6"|2016/09/19
|Yang Feng ||

||

|-
|Jiyuan Zhang ||
*completed the illustration of my part of book [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/4/46/Deep_learning-zhang_jiyuan.pdf here]]
*read two papers about generation task [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c7/Automatic_poetry_composition_through_recurrent_neural_networks_with_iterative_polishing_schema.pdf here]] [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/e/ed/Chinese_couplet_generation_with_neural_network_structures.pdf here]]
*checked qixi’ newly code
||
*generate the same level poem compared to qx’s
|-
|Aodong Li ||

||

|-
|Andi Zhang ||
*read several papers about memory network & IE
*tried to set the env for source code
*ran several times of source code on my laptop, didn't get as good results as in the paper but is close
||
*work on rnng
*share a paper about IE
|-
|Shiyao Li ||
*prepare for the paper sharing
*review the chapter 8 of the book written by Maoning Wang
*learn how to use cvs and how to write books using Latex
||
*complete the chapter 8-nonparametric model
*prepare to write Genetic Algorithm
|-
|Shiyue Zhang ||
*Read the paper RNNG
*Help with paper checks
*Try to run the code of RNNG
||
|-
|}

NLP Status Report 2016-09-19

2016-09-19T05:58:43Z

Lishiyao：

{| class="wikitable"
!Date !! People !! Last Week !! This Week
|-
| rowspan="6"|2016/09/19
|Yang Feng ||

||

|-
|Jiyuan Zhang ||
*completed the illustration of my part of book [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/4/46/Deep_learning-zhang_jiyuan.pdf here]]
*read two papers about generation task [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c7/Automatic_poetry_composition_through_recurrent_neural_networks_with_iterative_polishing_schema.pdf here]] [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/e/ed/Chinese_couplet_generation_with_neural_network_structures.pdf here]]
*checked qixi’ newly code
||
*generate the same level poem compared to qx’s
|-
|Aodong Li ||

||

|-
|Andi Zhang ||
*read several papers about memory network & IE
*tried to set the env for source code
*ran several times of source code on my laptop, didn't get as good results as in the paper but is close
||
*work on rnng
*share a paper about IE
|-
|Shiyao Li ||
*prepare for the paper sharing
*review the chapter 8 of the book written by Maoning Wang
*learn how to use cvs and how to write books using Latex
||
*complete the chapter 8-nonparametric model
*prepare to write chapter 9
|-
|Shiyue Zhang ||
*Read the paper RNNG
*Help with paper checks
*Try to run the code of RNNG
||
|-
|}

NLP Status Report 2016-09-19

2016-09-19T05:54:16Z

Lishiyao：

{| class="wikitable"
!Date !! People !! Last Week !! This Week
|-
| rowspan="6"|2016/09/19
|Yang Feng ||

||

|-
|Jiyuan Zhang ||
*completed the illustration of my part of book [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/4/46/Deep_learning-zhang_jiyuan.pdf here]]
*read two papers about generation task [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c7/Automatic_poetry_composition_through_recurrent_neural_networks_with_iterative_polishing_schema.pdf here]] [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/e/ed/Chinese_couplet_generation_with_neural_network_structures.pdf here]]
*checked qixi’ newly code
||
*generate the same level poem compared to qx’s
|-
|Aodong Li ||

||

|-
|Andi Zhang ||
*read several papers about memory network & IE
*tried to set the env for source code
*ran several times of source code on my laptop, didn't get as good results as in the paper but is close
||
*work on rnng
*share a paper about IE
|-
|Shiyao Li ||
*prepare for the paper sharing
*review the chapter 8 of the book written by Maoning Wang
*learn how to use cvs and how to write books using Latex
||
|-
|Shiyue Zhang ||
*Read the paper RNNG
*Help with paper checks
*Try to run the code of RNNG
||
|-
|}

Schedule

2016-09-18T09:48:17Z

Lishiyao：/* Daily Report */

Schedule

2016-09-14T09:16:55Z

Lishiyao：/* Work Progress */

Schedule

2016-09-12T09:30:32Z

Lishiyao：/* Daily Report */

Schedule

2016-09-02T09:31:33Z

Lishiyao：/* Daily Report */

Schedule

2016-09-02T09:28:59Z

Lishiyao：/* Daily Report */

Schedule

2016-09-02T09:28:28Z

Lishiyao：/* Daily Report */

Schedule

2016-09-02T09:28:14Z

Lishiyao：/* Daily Report */

Schedule

2016-09-02T09:27:20Z

Lishiyao：/* Daily Report */

Schedule

2016-09-02T09:26:46Z

Lishiyao：/* Daily Report */

Schedule

2016-09-02T09:25:38Z

Lishiyao：/* Daily Report */

Schedule

2016-09-02T09:24:46Z

Lishiyao：/* Daily Report */

Schedule

2016-09-02T09:23:35Z

Lishiyao：/* Daily Report */

Schedule

2016-09-02T09:23:12Z

Lishiyao：/* Daily Report */

Schedule

2016-09-02T09:21:34Z

Lishiyao：/* Daily Report */

Schedule

2016-09-02T09:21:01Z

Lishiyao：/* Daily Report */

Schedule

2016-09-02T00:46:41Z

Lishiyao：/* Daily Report */

Schedule

2016-09-01T04:12:14Z

Lishiyao：/* Daily Report */

Schedule

2016-08-31T08:36:33Z

Lishiyao：/* Daily Report */

=NLP Schedule=

==Members==

===Current Members===

* Yang Feng (冯洋)
* Jiyuan Zhang （张记袁）
* Aodong Li (李傲冬)
* Andi Zhang (张安迪)
* Ziwei Bai （白子薇）
* Aiting Liu (刘艾婷)
* Shiyao Li （李诗瑶）

===Former Members===
* '''Chao Xing (邢超)''' : FreeNeb
* '''Rong Liu (刘荣)''' : 优酷
* '''Xiaoxi Wang (王晓曦)''' : 图灵机器人
* '''Xi Ma (马习)''' : 清华大学研究生
* '''Tianyi Luo (骆天一)''' ： phd candidate in University of California Santa Cruz
* '''Qixin Wang (王琪鑫)''' : MA candidate in University of California
* '''DongXu Zhang (张东旭)''': --
* '''Yiqiao Pan (潘一桥)''' ： MA candidate in University of Sydney

==Work Progress==
===Daily Report===

{|class="wikitable"
! Date !! Person !! start!! leave !! hours ||status
|-
| rowspan="4"|2016/08/16
|Ziwei Bai|| 9:30 || 17:30 || 7 ||learn kernel construction,write the first construction method.
|-
|Andy Zhang||9:30 || 17:30 || 7 || prepare for the ML book, watch Wang's video of neural network
|-
|Aiting Liu|| 9:30 || 17:30 || 7 || learn Wang's instructional video of Neural Network
|-
|Shiyao Li || || || ||
|-
| rowspan="4"|2016/08/17
|Ziwei Bai|| 9:00 || 18:00 || 8 || rewrite 'the property of Gram matrix' and write the second kernel construction method
|-
|Andy Zhang|| 9:00 || 18:00 || 8 || read materials about Radio basis function networks as well as self-organizing map
|-
|Aiting Liu|| 9:00 || 18:00 || 8 || view the information related to the Hopfield network and Boltzmann machine
|-
|Shiyao Li || || || ||
|-
| rowspan="4"|2016/08/18
|Ziwei Bai|| 9:30 ||18:30 || 8 ||learn the 'propert of kernel function'&learn chaos' chatting model predict program
|-
|Andy Zhang||9:30 || 18:30 || 8 || continue preparing for the MLbook
|-
|Aiting Liu||9:30 || 18:30 || 8 || prepare for the presentation, learn RBF
|-
|Shiyao Li || || || ||
|-
| rowspan="4"|2016/08/19
|Ziwei Bai|| 9:00 || 18:00 || 8 || finish the first edition of my work of ML book
|-
|Andy Zhang|| 9:00 || 18:00 || 8 ||learn Hopfield network, prepare for the writing
|-
|Aiting Liu|| 9:00 || 18:00 || 8 || learn Andrew Ng's online course
|-
|Shiyao Li || || || ||
|-
| rowspan="4"|2016/08/20
|Ziwei Bai|| 9:40 || 18:50 || 8 || perfect my work of the book
|-
|Andy Zhang|| || || ||
|-
|Aiting Liu|| || || ||
|-
|Shiyao Li || || || ||
|-
| rowspan="4"|2016/08/22
|Ziwei Bai|| 9:15 || 18:15 ||8 || test Chatting model ,retrain word vector
|-
|Andy Zhang|| 9:15 || 18:15 || 8 || start writing chapter 3, version 0.0.
|-
|Aiting Liu|| || || ||
|-
|Shiyao Li || || || ||
|-
| rowspan="4"|2016/08/23
|Ziwei Bai|| 9:00 || 18:15||8 || 1、retrain NRM model & word vec 2.review paper‘NRM for STC’
|-
|Andy Zhang||9:00 || 18:15 || 8 || continue writing the ML book. mainly worked on MLP today
|-
|Aiting Liu|| || || ||
|-
|Shiyao Li || 9:00 || 18:15 || 8 || read the book Deep Learning and prepare the presentation of Probability Theory
|-
| rowspan="4"|2016/08/24
|Ziwei Bai|| 9:05 || 18:05 || 8 || test Chatting model 0-8,modify ASR Python Server Functional Specification
|-
|Andy Zhang|| 9:05|| 18:05 ||8 || mainly wrote the section of MLP & RBF
|-
|Aiting Liu|| || || ||
|-
|Shiyao Li || 9:05 || 18:05 || 8 || finish the preparation of the presentation about Linear Algebra and Probability Theory
|-
| rowspan="4"|2016/08/25
|Ziwei Bai|| 9:20 || 21:00 || 7.5 || 1、test Chatting Model 9-14，and upload to cvss。2、learn Bengio‘s dialogue system by hierarchical NN（except experiment and result）。
|-
|Andy Zhang|| 9:20 || 21:00 || 7.5 || continue writing chapter3
|-
|Aiting Liu|| || || ||
|-
|Shiyao Li || 9:20 || 21:00 || 7.5 || revise the PPT and start to learn tensorflow
|-
| rowspan="4"|2016/08/26
|Ziwei Bai|| 9:30 || 18:30 || 8 || prepare for seminar,select 100 posts Suitable for dialogue from weibo data
|-
|Andy Zhang|| 9:30 || 18:30 || 8 || continue writing chapter3
|-
|Aiting Liu|| || || ||
|-
|Shiyao Li || 9:30 || 18:30 || 8 || self-study tensorflow
|-
| rowspan="4"|2016/08/27
|Ziwei Bai|| 9:30 || 20:30 || 10 || 1、filter the movie scipts data based on weibo data word vector (30W+pairs) and try to train Chatting Model with the dataset on the basis of model 31, but load model failed(maybe because the version of tensor flow not consistent).2、find the response Corresponding to the post selected yesterday and test the model (0-34) with it
|-
|Andy Zhang|| || || ||
|-
|Aiting Liu|| || || ||
|-
|Shiyao Li|| || || ||
|-
| rowspan="5"|2016/08/29
|Ziwei Bai|| 9:20 || 18:00 || 7+ || test the Chatting model,count the number of startswith <END> sentences,and natural sentences.
|-
|Andy Zhang|| 9:20 || 17:40 || 7+ || continued working on chapter 3, did some revise work & tried to find ways to draw figures
|-
|Aiting Liu|| 9:20 || 18:20 || 8 || prepare diagrams in the book
|-
|Shiyao Li|| 9:20 || 18:20 || 8 || learn the CNN to solve MNIST using tensorflow
|-
|Aodong Li|| 10:30 || 16:30 || 5 || Read shared paper at the week before the last week
|-
| rowspan="4"|2016/08/30
|Ziwei Bai|| 9:15 ||18:15 || 8 || 1、prepare for bimonthly report.2、test Chatting Model
|-
|Andy Zhang|| 9:15 || 18:15 || 8 || finished version 1 of chapter 3 with the help of Aiting
|-
|Aiting Liu|| 9:15 || 18:15 || 8 || assist Andy to complete chapter3, prepare bimonthly report
|-
|Shiyao Li|| 9:15 || 18:15 || 8 || continue to learn tensorflow and train several models about mnist task
|-
| rowspan="5"|2016/08/31
|Ziwei Bai||9:10 || || ||
|-
|Andy Zhang|| || || ||
|-
|Aiting Liu|| 9:10 || 18:10 || 8 || bimonthly report
|-
|Shiyao Li|| 9:10 || 18:10 || 8 || keep learning word embedding in tensorflow
|-
|Aodong Li|| 08:20 || || ||
|-
|}

===Month Summary===

{| class="wikitable"
!People!! Summary
|-
|Yang Feng ||
*surveyed the line works of neural parsing, neural Turing machine and variants of RBMs and fixed the research topic to jointly parsing and understanding with Turing machine
*learned tensorflow
*produced two versions of results of query paraphrase
|-
|Jiyuan Zhang ||
|-
|Aodong Li ||
*Code:
2. Rare word embedding on word2vec and the related in C
3. Help Lantian for ICASSP
*Paper share: one for bilingual word embedding
*ML book: first version of chapter 2 with Aiting
|-
|Ziwei Bai ||
*finish part of chapter 5 kernel method
*retrain & test Chatting Model
*share 'the use of tensorflow'
|-
|Andy Zhang ||
*shared the principle of word2vec
*read several papers about comparison of sentence similarity
*wrote chapter 3 neural network of the ML book
|-
|Aiting Liu ||
*share two papers:
1.Intrinsic Subspace Evaluation of Word Embedding Representations [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/68/Intrinsic_Subspace_Evaluation_of_Word_Embedding_Representations.pdf pdf]]
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/1/17/Intrinsic_Subspace_Evaluation_of_Word_Embedding_Representations.pptx slides]]

2.A Sentence Interaction Network for Modeling Dependence between Sentences
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/0/04/A_Sentence_Interaction_Network_for_Modeling_Dependence_between_Sentences.pdf pdf]]
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/6c/A_Sentence_Interaction_Network_for_Modeling_Dependence_between_Sentences.pptx slides]]
*write chapter2 linear model
*help Andy complete chapter3 neural network
|-
|Shiyao Li ||
*prepare the data for question-pair task.
*use SRILM to train the language model and Moses to train the task
*share a paper about LSTM and do a presentation.
|}

===Time Off Table===

{| class="wikitable"
! Date !! Yang Feng !! Jiyuan Zhang !! Aodong Li !! Ziwei Bai !! Andy Zhang !! Aiitng Liu !! Shiyao Li
|-
|2016/8/15 || || || || || || || 8 hours
|-
|2016/8/16 || || || || || || || 8 hours
|-
|2016/8/17 || || || || || || || 8 hours
|-
|2016/8/18 || 2 hours || || || || || || 4 hours
|-
|2016/8/19 || || 6 hours || || || || || 8 hours
|-
|2016/8/22 || || || || || || 8 hours || 8 hours
|-
|2016/8/23 || || 2 hours || || || || 8 hours ||
|-
|2016/8/24 || || || || || || 8 hours ||
|-
|2016/8/25 || || || || || || 8 hours ||
|-
|2016/8/26 || || || 5 hours || || || 8 hours ||
|-
|2016/8/29 || || || 0.5 hours || || || ||
|}

==Past progress==
[[nlp-progress 2016/08]]

[[nlp-progress 2016/05/01 -- 08/16 | nlp-progress 2016/05-07]]

[[nlp-progress 2016/04]]

Schedule

2016-08-31T01:05:24Z

Lishiyao：/* Daily Report */

=NLP Schedule=

==Members==

===Current Members===

* Yang Feng (冯洋)
* Jiyuan Zhang （张记袁）
* Aodong Li (李傲冬)
* Andi Zhang (张安迪)
* Ziwei Bai （白子薇）
* Aiting Liu (刘艾婷)
* Shiyao Li （李诗瑶）

===Former Members===
* '''Chao Xing (邢超)''' : FreeNeb
* '''Rong Liu (刘荣)''' : 优酷
* '''Xiaoxi Wang (王晓曦)''' : 图灵机器人
* '''Xi Ma (马习)''' : 清华大学研究生
* '''Tianyi Luo (骆天一)''' ： phd candidate in University of California Santa Cruz
* '''Qixin Wang (王琪鑫)''' : MA candidate in University of California
* '''DongXu Zhang (张东旭)''': --
* '''Yiqiao Pan (潘一桥)''' ： MA candidate in University of Sydney

==Work Progress==
===Daily Report===

{|class="wikitable"
! Date !! Person !! start!! leave !! hours ||status
|-
| rowspan="4"|2016/08/16
|Ziwei Bai|| 9:30 || 17:30 || 7 ||learn kernel construction,write the first construction method.
|-
|Andy Zhang||9:30 || 17:30 || 7 || prepare for the ML book, watch Wang's video of neural network
|-
|Aiting Liu|| 9:30 || 17:30 || 7 || learn Wang's instructional video of Neural Network
|-
|Shiyao Li || || || ||
|-
| rowspan="4"|2016/08/17
|Ziwei Bai|| 9:00 || 18:00 || 8 || rewrite 'the property of Gram matrix' and write the second kernel construction method
|-
|Andy Zhang|| 9:00 || 18:00 || 8 || read materials about Radio basis function networks as well as self-organizing map
|-
|Aiting Liu|| 9:00 || 18:00 || 8 || view the information related to the Hopfield network and Boltzmann machine
|-
|Shiyao Li || || || ||
|-
| rowspan="4"|2016/08/18
|Ziwei Bai|| 9:30 ||18:30 || 8 ||learn the 'propert of kernel function'&learn chaos' chatting model predict program
|-
|Andy Zhang||9:30 || 18:30 || 8 || continue preparing for the MLbook
|-
|Aiting Liu||9:30 || 18:30 || 8 || prepare for the presentation, learn RBF
|-
|Shiyao Li || || || ||
|-
| rowspan="4"|2016/08/19
|Ziwei Bai|| 9:00 || 18:00 || 8 || finish the first edition of my work of ML book
|-
|Andy Zhang|| 9:00 || 18:00 || 8 ||learn Hopfield network, prepare for the writing
|-
|Aiting Liu|| 9:00 || 18:00 || 8 || learn Andrew Ng's online course
|-
|Shiyao Li || || || ||
|-
| rowspan="4"|2016/08/20
|Ziwei Bai|| 9:40 || 18:50 || 8 || perfect my work of the book
|-
|Andy Zhang|| || || ||
|-
|Aiting Liu|| || || ||
|-
|Shiyao Li || || || ||
|-
| rowspan="4"|2016/08/22
|Ziwei Bai|| 9:15 || 18:15 ||8 || test Chatting model ,retrain word vector
|-
|Andy Zhang|| 9:15 || 18:15 || 8 || start writing chapter 3, version 0.0.
|-
|Aiting Liu|| || || ||
|-
|Shiyao Li || || || ||
|-
| rowspan="4"|2016/08/23
|Ziwei Bai|| 9:00 || 18:15||8 || 1、retrain NRM model & word vec 2.review paper‘NRM for STC’
|-
|Andy Zhang||9:00 || 18:15 || 8 || continue writing the ML book. mainly worked on MLP today
|-
|Aiting Liu|| || || ||
|-
|Shiyao Li || 9:00 || 18:15 || 8 || read the book Deep Learning and prepare the presentation of Probability Theory
|-
| rowspan="4"|2016/08/24
|Ziwei Bai|| 9:05 || 18:05 || 8 || test Chatting model 0-8,modify ASR Python Server Functional Specification
|-
|Andy Zhang|| 9:05|| 18:05 ||8 || mainly wrote the section of MLP & RBF
|-
|Aiting Liu|| || || ||
|-
|Shiyao Li || 9:05 || 18:05 || 8 || finish the preparation of the presentation about Linear Algebra and Probability Theory
|-
| rowspan="4"|2016/08/25
|Ziwei Bai|| 9:20 || 21:00 || 7.5 || 1、test Chatting Model 9-14，and upload to cvss。2、learn Bengio‘s dialogue system by hierarchical NN（except experiment and result）。
|-
|Andy Zhang|| 9:20 || 21:00 || 7.5 || continue writing chapter3
|-
|Aiting Liu|| || || ||
|-
|Shiyao Li || 9:20 || 21:00 || 7.5 || revise the PPT and start to learn tensorflow
|-
| rowspan="4"|2016/08/26
|Ziwei Bai|| 9:30 || 18:30 || 8 || prepare for seminar,select 100 posts Suitable for dialogue from weibo data
|-
|Andy Zhang|| 9:30 || 18:30 || 8 || continue writing chapter3
|-
|Aiting Liu|| || || ||
|-
|Shiyao Li || 9:30 || 18:30 || 8 || self-study tensorflow
|-
| rowspan="4"|2016/08/27
|Ziwei Bai|| 9:30 || 20:30 || 10 || 1、filter the movie scipts data based on weibo data word vector (30W+pairs) and try to train Chatting Model with the dataset on the basis of model 31, but load model failed(maybe because the version of tensor flow not consistent).2、find the response Corresponding to the post selected yesterday and test the model (0-34) with it
|-
|Andy Zhang|| || || ||
|-
|Aiting Liu|| || || ||
|-
|Shiyao Li|| || || ||
|-
| rowspan="5"|2016/08/29
|Ziwei Bai|| 9:20 || 18:00 || 7+ || test the Chatting model,count the number of startswith <END> sentences,and natural sentences.
|-
|Andy Zhang|| 9:20 || 17:40 || 7+ || continued working on chapter 3, did some revise work & tried to find ways to draw figures
|-
|Aiting Liu|| 9:20 || 18:20 || 8 || prepare diagrams in the book
|-
|Shiyao Li|| 9:20 || 18:20 || 8 || learn the CNN to solve MNIST using tensorflow
|-
|Aodong Li|| 10:30 || 16:30 || 5 || Read shared paper at the week before the last week
|-
| rowspan="4"|2016/08/30
|Ziwei Bai|| 9:15 ||18:15 || 8 || 1、prepare for bimonthly report.2、test Chatting Model
|-
|Andy Zhang|| 9:15 || 18:15 || 8 || finished version 1 of chapter 3 with the help of Aiting
|-
|Aiting Liu|| 9:15 || 18:15 || 8 || assist Andy to complete chapter3, prepare bimonthly report
|-
|Shiyao Li|| 9:15 || 18:15 || 8 || continue to learn tensorflow and train several models about mnist task
|-
| rowspan="5"|2016/08/31
|Ziwei Bai||9:10 || || ||
|-
|Andy Zhang|| || || ||
|-
|Aiting Liu|| || || ||
|-
|Shiyao Li|| 9:10 || || ||
|-
|Aodong Li|| 08:20 || || ||
|-
|}

===Month Summary===

{| class="wikitable"
!People!! Summary
|-
|Yang Feng ||
*surveyed the line works of neural parsing, neural Turing machine and variants of RBMs and fixed the research topic to jointly parsing and understanding with Turing machine
*learned tensorflow
*produced two versions of results of query paraphrase
|-
|Jiyuan Zhang ||
|-
|Aodong Li ||
*Code:
1. sequence-to-sequence model with attention mechanism for chatting model and lyrics generation in theano and tensorflow
2. Rare word embedding on word2vec and the related in C
3. Help Lantian for ICASSP
*Paper sharing: two shared papers, one for rare word embedding, one for bilingual word embedding
*ML book: first version of chapter 2, linear model
*Read several papers about RNN, language model, word2vec, sequence-to-sequence model
|-
|Ziwei Bai ||
*finish part of chapter 5 kernel method
*retrain & test Chatting Model
*share 'the use of tensorflow'
|-
|Andy Zhang ||
*shared the principle of word2vec
*read several papers about comparison of sentence similarity
*wrote chapter 3 neural network of the ML book
|-
|Aiting Liu ||
*share two papers:
1.Intrinsic Subspace Evaluation of Word Embedding Representations [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/68/Intrinsic_Subspace_Evaluation_of_Word_Embedding_Representations.pdf pdf]]
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/1/17/Intrinsic_Subspace_Evaluation_of_Word_Embedding_Representations.pptx slides]]

2.A Sentence Interaction Network for Modeling Dependence between Sentences
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/0/04/A_Sentence_Interaction_Network_for_Modeling_Dependence_between_Sentences.pdf pdf]]
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/6c/A_Sentence_Interaction_Network_for_Modeling_Dependence_between_Sentences.pptx slides]]
*write chapter2 linear model
*help Andy complete chapter3 neural network
|-
|Shiyao Li ||
*prepare the data for question-pair task.
*use SRILM to train the language model and Moses to train the task
*share a paper about LSTM and do a presentation.
|}

===Time Off Table===

{| class="wikitable"
! Date !! Yang Feng !! Jiyuan Zhang !! Aodong Li !! Ziwei Bai !! Andy Zhang !! Aiitng Liu !! Shiyao Li
|-
|2016/8/15 || || || || || || || 8 hours
|-
|2016/8/16 || || || || || || || 8 hours
|-
|2016/8/17 || || || || || || || 8 hours
|-
|2016/8/18 || 2 hours || || || || || || 4 hours
|-
|2016/8/19 || || 6 hours || || || || || 8 hours
|-
|2016/8/22 || || || || || || 8 hours || 8 hours
|-
|2016/8/23 || || 2 hours || || || || 8 hours ||
|-
|2016/8/24 || || || || || || 8 hours ||
|-
|2016/8/25 || || || || || || 8 hours ||
|-
|2016/8/26 || || || 5 hours || || || 8 hours ||
|-
|2016/8/29 || || || 0.5 hours || || || ||
|}

==Past progress==
[[nlp-progress 2016/08]]

[[nlp-progress 2016/05/01 -- 08/16 | nlp-progress 2016/05-07]]

[[nlp-progress 2016/04]]

Bi-monthly-2016-08-language Language group

2016-08-31T01:04:00Z

Lishiyao：

AitingLiu [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/2/26/Bimonthly_report_AitingLiu.pptx ppt]]

Lishiyao [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/90/Lishiyao.pdf ppt]]

Bi-monthly-2016-08-language Language group

2016-08-31T01:02:58Z

Lishiyao：

AitingLiu [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/2/26/Bimonthly_report_AitingLiu.pptx ppt]]
\n
Lishiyao [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/90/Lishiyao.pdf ppt]]

Bi-monthly-2016-08-language Language group

2016-08-31T01:02:34Z

Lishiyao：

AitingLiu [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/2/26/Bimonthly_report_AitingLiu.pptx ppt]]
|-
Lishiyao [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/90/Lishiyao.pdf ppt]]

Bi-monthly-2016-08-language Language group

2016-08-31T01:02:07Z

Lishiyao：

AitingLiu [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/2/26/Bimonthly_report_AitingLiu.pptx ppt]]
Lishiyao [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/90/Lishiyao.pdf]]

文件:Lishiyao.pdf

2016-08-31T01:01:28Z

Lishiyao：

Schedule

2016-08-30T09:29:09Z

Lishiyao：/* Daily Report */

=NLP Schedule=

==Members==

===Current Members===

* Yang Feng (冯洋)
* Jiyuan Zhang （张记袁）
* Aodong Li (李傲冬)
* Andi Zhang (张安迪)
* Ziwei Bai （白子薇）
* Aiting Liu (刘艾婷)
* Shiyao Li （李诗瑶）

===Former Members===
* '''Chao Xing (邢超)''' : FreeNeb
* '''Rong Liu (刘荣)''' : 优酷
* '''Xiaoxi Wang (王晓曦)''' : 图灵机器人
* '''Xi Ma (马习)''' : 清华大学研究生
* '''Tianyi Luo (骆天一)''' ： phd candidate in University of California Santa Cruz
* '''Qixin Wang (王琪鑫)''' : MA candidate in University of California
* '''DongXu Zhang (张东旭)''': --
* '''Yiqiao Pan (潘一桥)''' ： MA candidate in University of Sydney

==Work Progress==
===Daily Report===

{|class="wikitable"
! Date !! Person !! start!! leave !! hours ||status
|-
| rowspan="4"|2016/08/16
|Ziwei Bai|| 9:30 || 17:30 || 7 ||learn kernel construction,write the first construction method.
|-
|Andy Zhang||9:30 || 17:30 || 7 || prepare for the ML book, watch Wang's video of neural network
|-
|Aiting Liu|| 9:30 || 17:30 || 7 || learn Wang's instructional video of Neural Network
|-
|Shiyao Li || || || ||
|-
| rowspan="4"|2016/08/17
|Ziwei Bai|| 9:00 || 18:00 || 8 || rewrite 'the property of Gram matrix' and write the second kernel construction method
|-
|Andy Zhang|| 9:00 || 18:00 || 8 || read materials about Radio basis function networks as well as self-organizing map
|-
|Aiting Liu|| 9:00 || 18:00 || 8 || view the information related to the Hopfield network and Boltzmann machine
|-
|Shiyao Li || || || ||
|-
| rowspan="4"|2016/08/18
|Ziwei Bai|| 9:30 ||18:30 || 8 ||learn the 'propert of kernel function'&learn chaos' chatting model predict program
|-
|Andy Zhang||9:30 || 18:30 || 8 || continue preparing for the MLbook
|-
|Aiting Liu||9:30 || 18:30 || 8 || prepare for the presentation, learn RBF
|-
|Shiyao Li || || || ||
|-
| rowspan="4"|2016/08/19
|Ziwei Bai|| 9:00 || 18:00 || 8 || finish the first edition of my work of ML book
|-
|Andy Zhang|| 9:00 || 18:00 || 8 ||learn Hopfield network, prepare for the writing
|-
|Aiting Liu|| 9:00 || 18:00 || 8 || learn Andrew Ng's online course
|-
|Shiyao Li || || || ||
|-
| rowspan="4"|2016/08/20
|Ziwei Bai|| 9:40 || 18:50 || 8 || perfect my work of the book
|-
|Andy Zhang|| || || ||
|-
|Aiting Liu|| || || ||
|-
|Shiyao Li || || || ||
|-
| rowspan="4"|2016/08/22
|Ziwei Bai|| 9:15 || 18:15 ||8 || test Chatting model ,retrain word vector
|-
|Andy Zhang|| 9:15 || 18:15 || 8 || start writing chapter 3, version 0.0.
|-
|Aiting Liu|| || || ||
|-
|Shiyao Li || || || ||
|-
| rowspan="4"|2016/08/23
|Ziwei Bai|| 9:00 || 18:15||8 || 1、retrain NRM model & word vec 2.review paper‘NRM for STC’
|-
|Andy Zhang||9:00 || 18:15 || 8 || continue writing the ML book. mainly worked on MLP today
|-
|Aiting Liu|| || || ||
|-
|Shiyao Li || 9:00 || 18:15 || 8 || read the book Deep Learning and prepare the presentation of Probability Theory
|-
| rowspan="4"|2016/08/24
|Ziwei Bai|| 9:05 || 18:05 || 8 || test Chatting model 0-8,modify ASR Python Server Functional Specification
|-
|Andy Zhang|| 9:05|| 18:05 ||8 || mainly wrote the section of MLP & RBF
|-
|Aiting Liu|| || || ||
|-
|Shiyao Li || 9:05 || 18:05 || 8 || finish the preparation of the presentation about Linear Algebra and Probability Theory
|-
| rowspan="4"|2016/08/25
|Ziwei Bai|| 9:20 || 21:00 || 7.5 || 1、test Chatting Model 9-14，and upload to cvss。2、learn Bengio‘s dialogue system by hierarchical NN（except experiment and result）。
|-
|Andy Zhang|| 9:20 || 21:00 || 7.5 || continue writing chapter3
|-
|Aiting Liu|| || || ||
|-
|Shiyao Li || 9:20 || 21:00 || 7.5 || revise the PPT and start to learn tensorflow
|-
| rowspan="4"|2016/08/26
|Ziwei Bai|| 9:30 || 18:30 || 8 || prepare for seminar,select 100 posts Suitable for dialogue from weibo data
|-
|Andy Zhang|| 9:30 || 18:30 || 8 || continue writing chapter3
|-
|Aiting Liu|| || || ||
|-
|Shiyao Li || 9:30 || 18:30 || 8 || self-study tensorflow
|-
| rowspan="4"|2016/08/27
|Ziwei Bai|| 9:30 || 20:30 || 10 || 1、filter the movie scipts data based on weibo data word vector (30W+pairs) and try to train Chatting Model with the dataset on the basis of model 31, but load model failed(maybe because the version of tensor flow not consistent).2、find the response Corresponding to the post selected yesterday and test the model (0-34) with it
|-
|Andy Zhang|| || || ||
|-
|Aiting Liu|| || || ||
|-
|Shiyao Li|| || || ||
|-
| rowspan="5"|2016/08/29
|Ziwei Bai|| 9:20 || 18:00 || 7+ || test the Chatting model,count the number of startswith <END> sentences,and natural sentences.
|-
|Andy Zhang|| 9:20 || 17:40 || 7+ || continued working on chapter 3, did some revise work & tried to find ways to draw figures
|-
|Aiting Liu|| 9:20 || 18:20 || 8 || prepare diagrams in the book
|-
|Shiyao Li|| 9:20 || 18:20 || 8 || learn the CNN to solve MNIST using tensorflow
|-
|Aodong Li|| 10:30 || 16:30 || 5 || Read shared paper at the week before the last week
|-
| rowspan="4"|2016/08/30
|Ziwei Bai|| 9:15 || || ||
|-
|Andy Zhang|| 9:15 || 18:15 || 8 || finished version 1 of chapter 3 with the help of Aiting
|-
|Aiting Liu|| 9:15 || 18:15 || 8 || assist Andy to complete chapter3, prepare bimonthly report
|-
|Shiyao Li|| 9:15 || 18:15 || 8 || continue to learn tensorflow and train several models about mnist task
|-
|}

===Month Summary===

{| class="wikitable"
!People!! Summary
|-
|Yang Feng ||
*surveyed the line works of neural parsing, neural Turing machine and variants of RBMs and fixed the research topic to jointly parsing and understanding with Turing machine
*learned tensorflow
*produced two versions of results of query paraphrase
|-
|Jiyuan Zhang ||
|-
|Aodong Li ||
*Code:
1. sequence-to-sequence model with attention mechanism for chatting model and lyrics generation in theano and tensorflow
2. Rare word embedding on word2vec and the related in C
3. Help Lantian for ICASSP
*Paper sharing: two shared papers, one for rare word embedding, one for bilingual word embedding
*ML book: first version of chapter 2, linear model
*Read several papers about RNN, language model, word2vec, sequence-to-sequence model
|-
|Ziwei Bai ||
*finish part of chapter 5 kernel method
*retrain & test Chatting Model
*share 'the use of tensorflow'
|-
|Andy Zhang ||
*shared the principle of word2vec
*read several papers about comparison of sentence similarity
*wrote chapter 3 neural network of the ML book
|-
|Aiting Liu ||
*share two papers:
1.Intrinsic Subspace Evaluation of Word Embedding Representations [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/68/Intrinsic_Subspace_Evaluation_of_Word_Embedding_Representations.pdf pdf]]
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/1/17/Intrinsic_Subspace_Evaluation_of_Word_Embedding_Representations.pptx slides]]

2.A Sentence Interaction Network for Modeling Dependence between Sentences
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/0/04/A_Sentence_Interaction_Network_for_Modeling_Dependence_between_Sentences.pdf pdf]]
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/6c/A_Sentence_Interaction_Network_for_Modeling_Dependence_between_Sentences.pptx slides]]
*write chapter2 linear model
*help Andy complete chapter3 neural network
|-
|Shiyao Li ||
*prepare the data for question-pair task.
*use SRILM to train the language model and Moses to train the task
*share a paper about LSTM and do a presentation.
|}

===Time Off Table===

{| class="wikitable"
! Date !! Yang Feng !! Jiyuan Zhang !! Aodong Li !! Ziwei Bai !! Andy Zhang !! Aiitng Liu !! Shiyao Li
|-
|2016/8/15 || || || || || || || 8 hours
|-
|2016/8/16 || || || || || || || 8 hours
|-
|2016/8/17 || || || || || || || 8 hours
|-
|2016/8/18 || 2 hours || || || || || || 4 hours
|-
|2016/8/19 || || 6 hours || || || || || 8 hours
|-
|2016/8/22 || || || || || || 8 hours || 8 hours
|-
|2016/8/23 || || 2 hours || || || || 8 hours ||
|-
|2016/8/24 || || || || || || 8 hours ||
|-
|2016/8/25 || || || || || || 8 hours ||
|-
|2016/8/26 || || || 5 hours || || || 8 hours ||
|-
|2016/8/29 || || || 0.5 hours || || || ||
|}

==Past progress==
[[nlp-progress 2016/08]]

[[nlp-progress 2016/05/01 -- 08/16 | nlp-progress 2016/05-07]]

[[nlp-progress 2016/04]]

Schedule

2016-08-30T00:51:48Z

Lishiyao：/* Daily Report */

=NLP Schedule=

==Members==

===Current Members===

* Yang Feng (冯洋)
* Jiyuan Zhang （张记袁）
* Aodong Li (李傲冬)
* Andi Zhang (张安迪)
* Ziwei Bai （白子薇）
* Aiting Liu (刘艾婷)
* Shiyao Li （李诗瑶）

===Former Members===
* '''Chao Xing (邢超)''' : FreeNeb
* '''Rong Liu (刘荣)''' : 优酷
* '''Xiaoxi Wang (王晓曦)''' : 图灵机器人
* '''Xi Ma (马习)''' : 清华大学研究生
* '''Tianyi Luo (骆天一)''' ： phd candidate in University of California Santa Cruz
* '''Qixin Wang (王琪鑫)''' : MA candidate in University of California
* '''DongXu Zhang (张东旭)''': --
* '''Yiqiao Pan (潘一桥)''' ： MA candidate in University of Sydney

==Work Progress==
===Daily Report===

{|class="wikitable"
! Date !! Person !! start!! leave !! hours ||status
|-
| rowspan="4"|2016/08/16
|Ziwei Bai|| 9:30 || 17:30 || 7 ||learn kernel construction,write the first construction method.
|-
|Andy Zhang||9:30 || 17:30 || 7 || prepare for the ML book, watch Wang's video of neural network
|-
|Aiting Liu|| 9:30 || 17:30 || 7 || learn Wang's instructional video of Neural Network
|-
|Shiyao Li || || || ||
|-
| rowspan="4"|2016/08/17
|Ziwei Bai|| 9:00 || 18:00 || 8 || rewrite 'the property of Gram matrix' and write the second kernel construction method
|-
|Andy Zhang|| 9:00 || 18:00 || 8 || read materials about Radio basis function networks as well as self-organizing map
|-
|Aiting Liu|| 9:00 || 18:00 || 8 || view the information related to the Hopfield network and Boltzmann machine
|-
|Shiyao Li || || || ||
|-
| rowspan="4"|2016/08/18
|Ziwei Bai|| 9:30 ||18:30 || 8 ||learn the 'propert of kernel function'&learn chaos' chatting model predict program
|-
|Andy Zhang||9:30 || 18:30 || 8 || continue preparing for the MLbook
|-
|Aiting Liu||9:30 || 18:30 || 8 || prepare for the presentation, learn RBF
|-
|Shiyao Li || || || ||
|-
| rowspan="4"|2016/08/19
|Ziwei Bai|| 9:00 || 18:00 || 8 || finish the first edition of my work of ML book
|-
|Andy Zhang|| 9:00 || 18:00 || 8 ||learn Hopfield network, prepare for the writing
|-
|Aiting Liu|| 9:00 || 18:00 || 8 || learn Andrew Ng's online course
|-
|Shiyao Li || || || ||
|-
| rowspan="4"|2016/08/20
|Ziwei Bai|| 9:40 || 18:50 || 8 || perfect my work of the book
|-
|Andy Zhang|| || || ||
|-
|Aiting Liu|| || || ||
|-
|Shiyao Li || || || ||
|-
| rowspan="4"|2016/08/22
|Ziwei Bai|| 9:15 || 18:15 ||8 || test Chatting model ,retrain word vector
|-
|Andy Zhang|| 9:15 || 18:15 || 8 || start writing chapter 3, version 0.0.
|-
|Aiting Liu|| || || ||
|-
|Shiyao Li || || || ||
|-
| rowspan="4"|2016/08/23
|Ziwei Bai|| 9:00 || 18:15||8 || 1、retrain NRM model & word vec 2.review paper‘NRM for STC’
|-
|Andy Zhang||9:00 || 18:15 || 8 || continue writing the ML book. mainly worked on MLP today
|-
|Aiting Liu|| || || ||
|-
|Shiyao Li || 9:00 || 18:15 || 8 || read the book Deep Learning and prepare the presentation of Probability Theory
|-
| rowspan="4"|2016/08/24
|Ziwei Bai|| 9:05 || 18:05 || 8 || test Chatting model 0-8,modify ASR Python Server Functional Specification
|-
|Andy Zhang|| 9:05|| 18:05 ||8 || mainly wrote the section of MLP & RBF
|-
|Aiting Liu|| || || ||
|-
|Shiyao Li || 9:05 || 18:05 || 8 || finish the preparation of the presentation about Linear Algebra and Probability Theory
|-
| rowspan="4"|2016/08/25
|Ziwei Bai|| 9:20 || 21:00 || 7.5 || 1、test Chatting Model 9-14，and upload to cvss。2、learn Bengio‘s dialogue system by hierarchical NN（except experiment and result）。
|-
|Andy Zhang|| 9:20 || 21:00 || 7.5 || continue writing chapter3
|-
|Aiting Liu|| || || ||
|-
|Shiyao Li || 9:20 || 21:00 || 7.5 || revise the PPT and start to learn tensorflow
|-
| rowspan="4"|2016/08/26
|Ziwei Bai|| 9:30 || 18:30 || 8 || prepare for seminar,select 100 posts Suitable for dialogue from weibo data
|-
|Andy Zhang|| 9:30 || 18:30 || 8 || continue writing chapter3
|-
|Aiting Liu|| || || ||
|-
|Shiyao Li || 9:30 || 18:30 || 8 || self-study tensorflow
|-
| rowspan="4"|2016/08/27
|Ziwei Bai|| 9:30 || 20:30 || 10 || 1、filter the movie scipts data based on weibo data word vector (30W+pairs) and try to train Chatting Model with the dataset on the basis of model 31, but load model failed(maybe because the version of tensor flow not consistent).2、find the response Corresponding to the post selected yesterday and test the model (0-34) with it
|-
|Andy Zhang|| || || ||
|-
|Aiting Liu|| || || ||
|-
|Shiyao Li|| || || ||
|-
| rowspan="4"|2016/08/29
|Ziwei Bai|| 9:20 || 18:00 || 7+ || test the Chatting model,count the number of startswith <END> sentences,and natural sentences.
|-
|Andy Zhang|| 9:20 || 17:40 || 7+ || continued working on chapter 3, did some revise work & tried to find ways to draw figures
|-
|Aiting Liu|| 9:20 || 18:20 || 8 || prepare diagrams in the book
|-
|Shiyao Li|| 9:20 || 18:20 || 8 || learn the CNN to solve MNIST using tensorflow
|-
| rowspan="4"|2016/08/30
|Ziwei Bai|| 9:15 || || ||
|-
|Andy Zhang|| || || ||
|-
|Aiting Liu|| || || ||
|-
|Shiyao Li|| 9:15 || || ||
|-
|}

===Month Summary===

{| class="wikitable"
!People!! Summary
|-
|Yang Feng ||
|-
|Jiyuan Zhang ||
|-
|Aodong Li ||
|-
|Ziwei Bai ||
|-
|Andy Zhang ||
|-
|Aiting Liu ||
|-
|Shiyao Li ||
*prepare the data for question-pair task.
*use SRILM to train the language model and Moses to train the task
*share a paper about LSTM and do a presentation.
|}

===Time Off Table===

{| class="wikitable"
! Date !! Yang Feng !! Jiyuan Zhang !! Aodong Li !! Ziwei Bai !! Andy Zhang !! Aiitng Liu !! Shiyao Li
|-
|2016/8/15 || || || || || || || 8 hours
|-
|2016/8/16 || || || || || || || 8 hours
|-
|2016/8/17 || || || || || || || 8 hours
|-
|2016/8/18 || 2 hours || || || || || || 4 hours
|-
|2016/8/19 || || 6 hours || || || || || 8 hours
|-
|2016/8/22 || || || || || || 8 hours || 8 hours
|-
|2016/8/23 || || 2 hours || || || || 8 hours ||
|-
|2016/8/24 || || || || || || 8 hours ||
|-
|2016/8/25 || || || || || || 8 hours ||
|-
|2016/8/26 || || || 5 hours || || || 8 hours ||
|-
|2016/8/29 || || || 0.5 hours || || || ||
|}

==Past progress==
[[nlp-progress 2016/08]]

[[nlp-progress 2016/05/01 -- 08/16 | nlp-progress 2016/05-07]]

[[nlp-progress 2016/04]]

Schedule

2016-08-29T09:18:08Z

Lishiyao：/* Daily Report */

Schedule

2016-08-29T08:52:23Z

Lishiyao：/* Month Summary */

Reading table

2016-08-29T07:24:21Z

Lishiyao：

{| class="wikitable"
! Date !! Speaker!! Materials
|-
| rowspan="1"|2014/10/22 ||Zhang Dong Xu|| Why RNN? [[媒体文件:Why_LSTM.pdf|PPT]] [[媒体文件:Learning_Long-Term_Dependencies_with_Gradient_Descent_is_Difficult.pdf|paper 1]],[[媒体文件:LongShortTermMemory.pdf|paper 2]]
|-
| rowspan="3"| 2014/12/8 || rowspan='3'|Liu Rong || Yu Zhao, Zhiyuan Liu, Maosong Sun. Phrase Type Sensitive Tensor Indexing Model for Semantic Composition. AAAI'15. [http://nlp.csai.tsinghua.edu.cn/~lzy/publications/aaai2015_tim.pdf pdf]
|-
| Yang Liu, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun. Topical Word Embeddings. AAAI'15. [http://nlp.csai.tsinghua.edu.cn/~lzy/publications/aaai2015_twe.pdf pdf][https://github.com/largelymfs/topical_word_embeddings code]
|-
| Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, Xuan Zhu. Learning Entity and Relation Embeddings for Knowledge Graph Completion. AAAI'15. [http://nlp.csai.tsinghua.edu.cn/~lzy/publications/aaai2015_transr.pdf pdf][https://github.com/mrlyk423/relation_extraction code]

|-
|2015/07/10 ||Liu Rong||
*Context-Dependent Translation Selection Using Convolutional Neural Network [http://arxiv.org/abs/1503.02357]
*Syntax-based Deep Matching of Short Texts [http://arxiv.org/abs/1503.02427]
*Convolutional Neural Network Architectures for Matching Natural Language Sentences[http://www.hangli-hl.com/uploads/3/1/6/8/3168008/hu-etal-nips2014.pdf]
*LSTM: A Search Space Odyssey [http://arxiv.org/pdf/1503.04069.pdf]
*A Deep Embedding Model for Co-occurrence Learning [http://arxiv.org/abs/1504.02824]
*Text segmentation based on semantic word embeddings[http://arxiv.org/abs/1503.05543]
*semantic parsing via paraphrashings[http://www.cs.tau.ac.il/research/jonathan.berant/homepage_files/publications/ACL14.pdf]
|-
|-
|2015/07/22 ||Dong Wang||
*From Word Embeddings To Document Distances [http://jmlr.org/proceedings/papers/v37/kusnerb15.pdf pdf]
*[[Asr-read-icml|Reading list for ICML2015]]
|-
|2015/07/29 ||Xiaoxi Wang||
* Sequence to Sequence Learning with Neural Networks [http://papers.nips.cc/paper/5346-information-based-learning-by-agents-in-unbounded-state-spaces pdf]
* Neural Machine Translation by Jointly Learning to Align and Translate [http://arxiv.org/abs/1409.0473 pdf]
|-
|2015/08/05 ||Tianyi Luo||
* A Hierarchical Knowledge Representation for Expert Finding on Social Media(ACL 2015 short paper) [[http://aclanthology.info/papers/a-hierarchical-knowledge-representation-for-expert-finding-on-social-media pdf]]
|-
|2015/08/05 ||Dongxu Zhang||
* Describing Multimedia Content using Attention-based Encoder-Decoder Networks[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/e/e0/Describing_Multimedia_Content_using_Attention-based_Encoder-Decoder_Networks.pdf]
* Attention-Based Models for Speech Recognition[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/58/Attention-Based_Models_for_Speech_Recognition.pdf] details in speech recognition.
* Neural Machine Translation by Joint Learning to Align and Translate[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c3/Neural_Machine_Translation_by_Joint_Learning_to_Align_and_Translate.pdf] details in machine translation.
|-
|2015/08/07 ||Chao Xing||
* Neural Word Embedding as Implicit Matrix Factorization [[http://papers.nips.cc/paper/5477-neural-word-embedding-as-implicit-matrix-factorization.pdf pdf]]
* Matrix factorization techniques for recommender systems [[http://www.columbia.edu/~jwp2128/Teaching/W4721/papers/ieeecomputer.pdf]]
|-
|2015/10/14 ||Tianyi Luo, Dongxu Zhang, Chao Xing||
* MEMORY NETWORKS(ICLR 2015) [[http://arxiv.org/pdf/1410.3916v10.pdf pdf]]
* End-To-End Memory Networks(NIPS 2015) [[http://arxiv.org/pdf/1503.08895v4.pdf pdf]]
|-
|2015/10/20 ||Tianyi Luo, Xiaoxi Wang||
* The Kendall and Mallows Kernels for Permutations (ICML 2015) [[http://jmlr.csail.mit.edu/proceedings/papers/v37/jiao15.pdf pdf]]
* The ordering of expression among a few genes can provide simple cancer biomarkers and signal BRCA1 mutations (BMC Bioinformatics) [[http://www.biomedcentral.com/content/pdf/1471-2105-10-256.pdf pdf]]
* Reasoning about Entailment with Neural Attention [[http://arxiv.org/pdf/1509.06664v1.pdf pdf]]
|-
|2015/10/28 ||Lantian Li||
* Binary Code Ranking with Weighted Hamming Distance [[http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Zhang_Binary_Code_Ranking_2013_CVPR_paper.pdf pdf]]
|-
|2015/11/05 || Chao Xing, Xiaoxi Wang||
* Generative Image Modeling Using Spatial LSTMs [[http://arxiv.org/pdf/1506.03478v2.pdf pdf]]
* Character-level Convolutional Networks for Text Classification [[http://arxiv.org/pdf/1509.01626.pdf pdf]]
|-
|2015/11/20 || qixinWang||
* Are You Talking to a Machine? [[http://arxiv.org/pdf/1505.05612v3.pdf pdf]]
* m-RNN [[http://arxiv.org/pdf/1412.6632v5.pdf pdf]]
* PresentationPPT [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/93/PresentationPaper--QixinWang20151120.pdf pdf]]
|-
|2015/11/27 || Xiaoxi Wang||
* NEURAL PROGRAMMER-INTERPRETERS [[http://arxiv.org/pdf/1511.06279v2.pdf pdf]]
* Subset Selection by Pareto Optimization [[http://www.researchgate.net/profile/Yang_Yu87/publication/282632653_Subset_Selection_by_Pareto_Optimization/links/561495d908aed47facee68b5.pdf pdf]]
|-
|-
|2015/11/27 || Chao Xing ||
*Random Walks and Neural Network Language Models [[http://www.aclweb.org/anthology/N15-1165 pdf]]
*SENSEMBED: Learning Sense Embeddings forWord and Relational Similarity[[http://wwwusers.di.uniroma1.it/~navigli/pubs/ACL_2015_Iacobaccietal.pdf pdf]]
|-
|-
|2015/12/4 || Dongxu Zhang, Qixin Wang, Chao Xing ||
*Building a shared world: Mapping distributional to model-theoretic semantic spaces[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/da/Building_a_shared_world.pdf pdf]]
*Playing Atari with Deep Reinforcement Learning[[http://arxiv.org/pdf/1312.5602v1.pdf pdf]]
*Word Embedding Revisited A New Representation Learning and Explicit Matrix Factorization Perspective [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/4/45/Report-1.pdf pdf]]
|-
|-
|2015/12/11 || Chao Xing, Yiqiao Pan ||
*Semi-Supervised Word Sense Disambiguation Using Word Embeddings in General and Specific Domains [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/57/Report-12-11-02.pdf pdf]]
*SENSE2VEC - A FAST AND ACCURATE METHOD FOR WORD SENSE DISAMBIGUATION IN NEURAL WORD EMBEDDINGS [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/f0/Report-12-11-03.pdf pdf]]
*Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space[[http://arxiv.org/pdf/1504.06654v1.pdf pdf]]
*Distributional Semantics in Use[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/97/Report-12-11-01.pdf pdf]]
|-
|-
|2015/12/18 || Tianyi Luo, Dongxu Zhang ||
*Human-level concept learning through probabilistic program induction(Cognitive Science) [[http://cdn1.almosthuman.cn/wp-content/uploads/2015/12/Human-level-concept-learning-through-probabilistic-program-induction.pdf pdf]]
*Cluster Analysis of Heterogeneous Rank Data(ICML 2007) [[http://machinelearning.wustl.edu/mlpapers/paper_files/icml2007_BusseOB07.pdf pdf]]
*Building a shared world: Mapping distributional to model-theoretic semantic spaces[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/da/Building_a_shared_world.pdf pdf]]
|-
|-
|2015/12/25 || Dongxu zhang, Qixin Wang ||
*Exploiting Multiple Sources for Open-domain Hypernym Discovery[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/d1/Exploiting_Multiple_Sources_for_Open-domain_Hypernym_Discovery.pdf]]
*learning semantic hierarchies via word embeddings[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/4/4f/Learning_semantic_hierarchies_via_word_embeddings_acl2014.pdf]]
|-
|-
|2015/12/31 || Xiaoxi Wang， Chao Xing||
* Multilingual Language Processing From Bytes [[http://arxiv.org/pdf/1512.00103v1.pdf pdf]]
* Towards universal neural nets: Gibbs machines and ACE. [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/3/3b/Report-12-31.pdf pdf]]
|-
|-
|2016/1/8 || Qixin Wang， Tianyi Luo||
*Unveiling the Dreams of Word Embeddings: Towards Language-Driven Image Generation[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/a/a1/Unveiling_the_Dreams_of_Word_Embeddings-_Towards_Language-Driven_Image_Generation.pdf pdf]]
*Generating Chinese Couplets using a Statistical MT Approach[[http://aclweb.org/anthology/C/C08/C08-1048.pdf pdf]]
*Generating Chinese Classical Poems with Statistical Machine Translation Models[[http://www.aaai.org/ocs/index.php/AAAI/AAAI12/paper/viewFile/4753/5314 pdf]]
*Chinese Poetry Generation with Recurrent Neural Networks[[http://www.aclweb.org/old_anthology/D/D14/D14-1074.pdf pdf]]
|-
|2016/1/15 || Chao Xing||
*Learning from Chris Dyer [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/cd/Learning_From_Chris_Dyer.pptx ppt]]
*Learning Word Representations with Hierarchical Sparse Coding [[http://arxiv.org/pdf/1406.2035v2.pdf pdf]]
*Non-distributional Word Vector Representations [[http://www.cs.cmu.edu/~mfaruqui/papers/acl15-nondist.pdf pdf]]
*Sparse Overcomplete Word Vector Representations [[http://www.cs.cmu.edu/~mfaruqui/papers/acl15-overcomplete.pdf pdf]]
|-
|2016/1/22 || Qixin Wang, Tianyi Luo||
*Skip_thought_vector [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/a/aa/Skip_thought_vector.pdf pdf]]
|-
|2016/1/29 || Dongxu Zhang||
*Towards Neural Network-based Reasoning[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/cb/Towards_Neural_Network-based_Reasoning.pdf]]
|-
|2016/3/25 || Jiyuan Zhang||
*Modeling Temporal Dependencies in High-Dimensional Sequences:Application to Polyphonic Music Generation and Transcription[[http://www-etud.iro.umontreal.ca/~boulanni/ICML2012.pdf pdf]]
*Composing Music With Recurrent Neural Networks[[http://www.hexahedria.com/2015/08/03/composing-music-with-recurrent-neural-networks/ blog]]
|-
|2016/4/1 || Chao Xing||
*Generating Text with Deep Reinforcement Learning[[http://arxiv.org/pdf/1510.09202v1.pdf pdf]]
|-
|2016/4/8 || Tianyi Luo||
*Generating Chinese Classical Poems with RNN[[http://nlp.hivefire.com/articles/share/56982/]]
|-
|2016/4/28 || Chao Xing||
*Knowledge Base Completion via Search-Based Question Answering [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/b1/Knowledge_Base_Completion_via_Search-Based_Question_Answering_-_Report.pdf]]
*Open Domain Question Answering via Semantic Enrichment [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/1/15/Open_Domain_Question_Answering_via_Semantic_Enrichment_-_Report.pdf]]
*A Neural Conversational Model [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/1/15/A_Neural_Conversational_Model_-_Report.pdf]]
|-
|2016/5/11 || Chao Xing||
*A Hierarchical Recurrent Encoder-Decoder for Generative Context-Aware Query Suggestion
*A Neural Network Approach to Context-Sensitive Generation of Conversational Responses
*Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models
*Neural Responding Machine for Short-Text Conversation
*Learning from Real Users Rating Dialogue Success with Neural Networks for Reinforcement Learning in Spoken Dialogue Systems
|-
|2016/7/28 || Aiting Liu ||
*Intrinsic Subspace Evaluation of Word Embedding Representations [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/68/Intrinsic_Subspace_Evaluation_of_Word_Embedding_Representations.pdf pdf]]
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/1/17/Intrinsic_Subspace_Evaluation_of_Word_Embedding_Representations.pptx slides]]
|-
|2016/8/4 ||
* Aodong Li
* Jiyuan Zhang
* Andi Zhang
||
*On the Role of Seed Lexicons in Learning Bilingual Word Embeddings [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/5b/On_the_Role_of_Seed_Lexicons_in_Learning_Bilingual_Word_Embeddings.pdf pdf]] [[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/51/2.0On_the_Role_of_Seed_Lexicons_in_Learning_Bilingual_Word_Embeddings_.pdf slides]]
*ABCNN- Attention-Based Convolutional Neural Network for Modeling Sentence Pairs
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/7/76/ABCNN-_Attention-Based_Convolutional_Neural_Network_for_Modeling_Sentence_Pairs_.pdf pdf]]
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/0/0d/Attention-Based_Convolutianal_Neural_Network_for_Modeling_Sentence_Pairs.pptx slides]]
*[[Tutorial]]: Introduction to different LMs: NNLM, RNNLM, continuous bag of words, skip-gram
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/da/Models_for_computing_continuous_vector_representations_of_words.pdf slides]]
|-
|2016/8/18 ||
* Shiyao Li
* Aiting Liu
||
*Multilingual part-of-speech tagging with bidirectional long short-term memory models and auxiliary loss
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/a/a4/Multilingual_part-of-speech_tagging_with_bidirectional_long_short-term_memory_models_and_auxiliary_loss.pdf pdf]]
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c5/Multilingual_Part-of-Speech_Tagging_with.pdf slides]]
*A Sentence Interaction Network for Modeling Dependence between Sentences
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/0/04/A_Sentence_Interaction_Network_for_Modeling_Dependence_between_Sentences.pdf pdf]]
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/6c/A_Sentence_Interaction_Network_for_Modeling_Dependence_between_Sentences.pptx slides]]
|-
|2016/8/25 ||
* Ziwei Bai
||
*[[Tutorial]]: Tensorflow guidelines and some examples
|-
|2016/8/26 ||
* Jiyuan Zhang
* Shiyao Li
||
*[[Tutorial]]: Introduction to GRU, LSTM, RBM [[http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/%E6%96%87%E4%BB%B6:An_overview_of_LSTM,GRU,RBM.pptx slides]]
* [[Tutorial]] : Linear Algebra, Probability and Information Basics
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/f1/LinearAlgebra.pdf slides]]
[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/97/ProbilityTheoryandInformationTheory.pdf slides]]
|}

文件:ProbilityTheoryandInformationTheory.pdf

2016-08-29T07:23:29Z

Lishiyao：

文件:LinearAlgebra.pdf

2016-08-29T07:21:36Z

Lishiyao：

文件:Multilingual Part-of-Speech Tagging with.pdf

2016-08-29T05:38:42Z

Lishiyao：Lishiyao上传“文件:Multilingual Part-of-Speech Tagging with.pdf”的新版本

ppt

文件:Multilingual Part-of-Speech Tagging with.pdf

2016-08-29T05:38:32Z

Lishiyao：Lishiyao上传“文件:Multilingual Part-of-Speech Tagging with.pdf”的新版本

ppt

文件:Multilingual Part-of-Speech Tagging with.pdf

2016-08-29T05:38:25Z

Lishiyao：Lishiyao上传“文件:Multilingual Part-of-Speech Tagging with.pdf”的新版本

ppt