“Schedule”版本间的差异
来自cslt Wiki
第19行: | 第19行: | ||
==Work Process== | ==Work Process== | ||
===Question answering system=== | ===Question answering system=== | ||
− | + | ||
====Chao Xing==== | ====Chao Xing==== | ||
2016-05-11 : | 2016-05-11 : | ||
第51行: | 第51行: | ||
====Aiting Liu==== | ====Aiting Liu==== | ||
− | + | ||
2016-05-08:Fetch data from 'http://news.ifeng.com/' and 'http://www.xinhuanet.com/'(13.4M) | 2016-05-08:Fetch data from 'http://news.ifeng.com/' and 'http://www.xinhuanet.com/'(13.4M) | ||
第59行: | 第59行: | ||
====Ziwei Bai==== | ====Ziwei Bai==== | ||
− | + | ||
2016-05-08: convert the pdf we found yesterday into txt,and reconstruct the data into our expected formula | 2016-05-08: convert the pdf we found yesterday into txt,and reconstruct the data into our expected formula | ||
第68行: | 第68行: | ||
===Generation Model (Aodong li)=== | ===Generation Model (Aodong li)=== | ||
+ | |||
: 2016-05-10 : complete sequence to sequence lstm-based model in Theano | : 2016-05-10 : complete sequence to sequence lstm-based model in Theano | ||
: 2016-05-09 : try to code sequence to sequence model | : 2016-05-09 : try to code sequence to sequence model |
2016年5月11日 (三) 12:46的版本
目录
Text Processing Team Schedule
Members
Former Members
- 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
- DongXu Zhang (张东旭) : --
Current Members
- Tianyi Luo (骆天一)
- Chao Xing (邢超)
- Qixin Wang (王琪鑫)
- Yiqiao Pan (潘一桥)
- Aodong Li (李傲冬)
- Ziwei Bai (白子薇)
- Aiting Liu (刘艾婷)
Work Process
Question answering system
Chao Xing
2016-05-11 :
1. Prepare for paper sharing. 2. Finish CDSSM model in chatting process. 3. Start setup model & experiment in dialogue system.
2016-05-10 :
1. Finish test CDSSM model in chatting, find original data has some problem. 2. Read paper: 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
2016-05-09 :
1. Test CDSSM model in chatting model. 2. Read paper : Learning from Real Users Rating Dialogue Success with Neural Networks for Reinforcement Learning in Spoken Dialogue Systems SimpleDS A Simple Deep Reinforcement Learning Dialogue System 3. Code RNN by myself in tensorflow.
2016-05-08 :
Fix some problem in dialogue system team, and continue read some papers in dialogue system.
2016-05-07 :
Read some papers in dialogue system.
2016-05-06 :
Try to fix RNN-DSSM model in tensorflow. Failure..
2016-05-05 :
Coding for RNN-DSSM in tensorflow. Face an error when running rnn-dssm model in cpu : memory keep increasing. Tensorflow's version in huilan is 0.7.0 and install by pip, this cause using error in creating gpu graph, one possible solution is build tensorflow from source code.
Aiting Liu
2016-05-08:Fetch data from 'http://news.ifeng.com/' and 'http://www.xinhuanet.com/'(13.4M)
2016-05-07:Fetch data from 'http://fangtan.china.com.cn/' and interview books (10M)
2016-05-04:Establish the overall framework of our chat robot,and continue to build database
Ziwei Bai
2016-05-08: convert the pdf we found yesterday into txt,and reconstruct the data into our expected formula
2016-05-07: Finding 9 Drama scripts and 20 film scripts
2016-05-04:Finding and dealing with the data for QA system
Generation Model (Aodong li)
- 2016-05-10 : complete sequence to sequence lstm-based model in Theano
- 2016-05-09 : try to code sequence to sequence model
- 2016-05-08 :
denoise and train word vectors of Lijun Deng's lyrics (110+ pieces) decide on using raw sequence to sequence model
- 2016-05-07 :
study attention-based model learn some details about the poem generation model change my focus onto lyrics generation model
- 2016-05-06 : read the paper about poem generation and learn about LSTM
- 2016-05-05 : check in and have an overview of generation model