“Tianyi Luo 2016-04-25”版本间的差异
来自cslt Wiki
| 第12行： | 第12行： | ||
--------------------2016-04-21 | --------------------2016-04-21 | ||
* Finish helping Teacher Wang to prepare for text group's presentation(Tang poetry and Songci generation and Intelligent QA system) for Tsinghua University's 105 anniversary. | * Finish helping Teacher Wang to prepare for text group's presentation(Tang poetry and Songci generation and Intelligent QA system) for Tsinghua University's 105 anniversary. | ||
| − | * Submit our IJCAI paper to arxiv. (Solve a big problem about submitting the paper including Chinese chacracters) | + | * Submit our IJCAI paper to arxiv. (Solve a big problem about submitting the paper including Chinese chacracters. [http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/How_to_submit_the_latex_files_including_Chinese_characters_to_arxiv Solution]) |
* Optimize theano version of Generationg the similar questions' vectors based on RNN. | * Optimize theano version of Generationg the similar questions' vectors based on RNN. | ||
--------------------2016-04-22 | --------------------2016-04-22 | ||
2016年4月24日 (日) 13:22的版本
Plan to do this week
- To implement tensorflow version of RNN/LSTM Max margin vector training.
Work done in this week
2016-04-18
- Optimize theano version of Generationg the similar questions' vectors based on RNN.
- Finish implementing theano version of LSTM Max margin vector training.
2016-04-19
- Optimize theano version of Generationg the similar questions' vectors based on RNN.
2016-04-20
- Finish submiting the camera version paper of IJCAI 2016.
- Update the version of Technical Report about Chinese Song Iambics generation.
2016-04-21
- Finish helping Teacher Wang to prepare for text group's presentation(Tang poetry and Songci generation and Intelligent QA system) for Tsinghua University's 105 anniversary.
- Submit our IJCAI paper to arxiv. (Solve a big problem about submitting the paper including Chinese chacracters. Solution)
- Optimize theano version of Generationg the similar questions' vectors based on RNN.
2016-04-22
- Speed up process of the test performance about theano version of Generationg the similar questions' vectors based on RNN.
2016-04-23
- Use entity match rules to improve the accuracy from 38% to 58%.
2016-04-24
- Use entity match rules to improve the accuracy from 58% to 72%.
Plan to do next week
- To implement tensorflow version of RNN/LSTM Max margin vector training.
- To implement attention chatting model with xiaobing corpus.
Interested papers
- Cascading Bandits: Learning to Rank in the Cascade Model(ICML 2015) [pdf]
