“QA Research”版本间的差异
来自cslt Wiki
（以“An Overview of Microsoft Deep QA System on Stanford WebQuestions Benchmark.”为内容创建页面） |
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| − | An Overview of Microsoft Deep QA System on Stanford WebQuestions Benchmark. | + | ==Papers== |
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| + | An Overview of Microsoft Deep QA System on Stanford WebQuestions Benchmark.[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/59/Microsoft_Deep_QA.pdf] | ||
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| + | Knowledge-Based Question Answering as Machine Translation.[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/0/05/Knowledge-Based_Question_Answering_as_Machine_Translation.pdf] | ||
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| + | Question Answering with Subgraph Embeddings.[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/4/49/Question_Answering_with_Subgraph_Embeddings.pdf] | ||
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| + | Modeling Interestingness with Deep Neural Networks.[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/7/73/Modeling_Interestingness_with_Deep_Neural_Networks.pdf] | ||
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| + | Random walks for knowledge-based word sense disambiguation[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/bb/Random_walks_for_knowledge-based_word_sense_disambiguation.pdf] | ||
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| + | Convolutional Neural Networks for Sentence Classification.[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/fe/Convolutional_Neural_Networks_for_Sentence_Classi%EF%AC%81cation.pdf] | ||
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| + | SemEval 2014 and all it's papers.[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/b9/SimCompass_Using_Deep_Learning_Word_Embeddings.pdf] | ||
2014年9月22日 (一) 13:05的最后版本
Papers
An Overview of Microsoft Deep QA System on Stanford WebQuestions Benchmark.[1]
Knowledge-Based Question Answering as Machine Translation.[2]
Question Answering with Subgraph Embeddings.[3]
Modeling Interestingness with Deep Neural Networks.[4]
Random walks for knowledge-based word sense disambiguation[5]
Convolutional Neural Networks for Sentence Classification.[6]
SemEval 2014 and all it's papers.[7]
