“Schedule”版本间的差异
来自cslt Wiki
（→Recommendation System (Tong Liu)） |
（→Reproduce DSSM Baseline (Chao Xing)） |
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==Work Process== | ==Work Process== | ||
===Reproduce DSSM Baseline (Chao Xing)=== | ===Reproduce DSSM Baseline (Chao Xing)=== | ||
| + | : 2016-04-15 : Share Papers. Investigation a series of DSSM papers for future work. And show our intern students how to do research. | ||
| + | : Original DSSM model : Learning Deep Structured Semantic Models for Web Search using Clickthrough Data [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/4/45/2013_-_Learning_Deep_Structured_Semantic_Models_for_Web_Search_using_Clickthrough_Data_-_Report.pdf pdf] | ||
| + | : CNN based DSSM model : A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/b7/2014_-_A_Latent_Semantic_Model_with_Convolutional-Pooling_Structure_for_Information_Retrieval_-_Report.pdf pdf] | ||
| + | : Use DSSM model for a new area : Modeling Interestingness with Deep Neural Networks [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/1/1f/2014_-_Modeling_Interestingness_with_Deep_Neural_Networks_-_Report.pdf pdf] | ||
| + | : Latest approach for LSTM + RNN DSSM model : SEMANTIC MODELLING WITH LONG-SHORT-TERM MEMORY FOR INFORMATION RETRIEVAL [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/2/24/2015_-_SEMANTIC_MODELLING_WITH_LONG-SHORT-TERM_MEMORY_FOR_INFORMATION_RETRIEVAL_-_Report.pdf pdf] | ||
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: 2016-04-14 : Test dssm-dnn model, code dssm-cnn model. | : 2016-04-14 : Test dssm-dnn model, code dssm-cnn model. | ||
Continue investigate deep neural question answering system. | Continue investigate deep neural question answering system. | ||
2016年4月15日 (五) 03:25的版本
目录
- 1 Text Processing Team Schedule
- 1.1 Members
- 1.2 Work Process
- 1.2.1 Reproduce DSSM Baseline (Chao Xing)
- 1.2.2 RNN Poem Processing (Qixin Wang)
- 1.2.3 RNN Question and Answering System (Tianyi Luo)
- 1.2.4 Deep Poem Processing With Image (Ziwei Bai)
- 1.2.5 RNN Music Processing for lyric (Shiyao Li)
- 1.2.6 RNN Key word Poem Processing (Yi Xiong)
- 1.2.7 RNN Piano Processing (Jiyuan Zhang)
- 1.2.8 Recommendation System (Tong Liu)
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)
Work Process
Reproduce DSSM Baseline (Chao Xing)
- 2016-04-15 : Share Papers. Investigation a series of DSSM papers for future work. And show our intern students how to do research.
: Original DSSM model : Learning Deep Structured Semantic Models for Web Search using Clickthrough Data pdf : CNN based DSSM model : A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval pdf : Use DSSM model for a new area : Modeling Interestingness with Deep Neural Networks pdf : Latest approach for LSTM + RNN DSSM model : SEMANTIC MODELLING WITH LONG-SHORT-TERM MEMORY FOR INFORMATION RETRIEVAL pdf
- 2016-04-14 : Test dssm-dnn model, code dssm-cnn model.
Continue investigate deep neural question answering system.
- 2016-04-13 : test dssm model, investigate deep neural question answering system.
: Share theano ppt theano : Share tensorflow ppt tensorflow
- 2016-04-12 : Write done dssm tensor flow version.
- 2016-04-11 : Write tensorflow toolkit ppt for intern student.
- 2016-04-10 : Learn tensorflow toolkit.
- 2016-04-09 : Learn tensorflow toolkit.
- 2016-04-08 : Finish theano version.
RNN Poem Processing (Qixin Wang)
RNN Question and Answering System (Tianyi Luo)
Deep Poem Processing With Image (Ziwei Bai)
- 2016-04-10 : web spider to catch a thousand pices of images.
- 2016-04-13 :1、download theano for python2.7。 2.debug cnn.py
RNN Music Processing for lyric (Shiyao Li)
- 2016-04-09 : web spider to catch a thousand pieces of lyrics.
- 2016-04-10 : extract the keywords in the lyrics
- 2016-04-13 :Read paper Memory Network.
RNN Key word Poem Processing (Yi Xiong)
- 2016-04-09 : Database for N-Gram data storing
- 2016-04-10 : dictionary stored in database , dictionary based segmentation and a simple bigram segmentation
- 2016-04-13 : segmentation result analysis
RNN Piano Processing (Jiyuan Zhang)
- 2016-4-12：select appropriate midis and run rnnrbm model
- 2016-4-13：view rnnrbm model‘s code
Recommendation System (Tong Liu)
- 2016-04-09 : 1.read a review:Machine learning:Trends,perspectives, and prospects 2.learn python ,can operate dict and set
- 2016-04-12 : 1.read paper Collaborative Deep Learning for Recommender Systems and take notes.2. learn the concepts of stacked denoising autoencoder(SDAE).
