Question answering over freebase with multi-column convolutional neural networks

ACL-IJCNLP 2015 - 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Proceedings of the Conference

Volumn 1, Issue , 2015, Pages 260-269

  Dong, Li ^a   Wei, Furu ^b   Zhou, Ming ^b   Xu, Ke ^a  

^a BEIHANG UNIVERSITY   (China)

^b MICROSOFT RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; CONVOLUTION; KNOWLEDGE BASED SYSTEMS; NEURAL NETWORKS;

BASELINE SYSTEMS; CONVOLUTIONAL NEURAL NETWORK; DISTRIBUTED REPRESENTATION; EXISTING SYSTEMS; MULTITASK LEARNING; NATURAL LANGUAGE QUESTIONS; QUESTION ANSWERING; QUESTION-ANSWER PAIRS;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84943769848     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/p15-1026     Document Type: Conference Paper

References (30)

1. Junwei Bao, Nan Duan, Ming Zhou, and Tiejun Zhao. 2014. Knowledge-based question answering as machine translation. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 967-976. Association for Computational Linguistics.
2. Yoshua Bengio. 2012. Practical recommendations for gradient-based training of deep architectures. In Neural Networks: Tricks of the Trade, pages 437-478.
3. Jonathan Berant and Percy Liang. 2014. Semantic parsing via paraphrasing. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1415-1425. Association for Computational Linguistics.
4. Jonathan Berant, Andrew Chou, Roy Frostig, and Percy Liang. 2013. Semantic parsing on freebase from question-Answer pairs. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pages 1533-1544. Association for Computational Linguistics.
5. Kurt D. Bollacker, Colin Evans, Praveen Paritosh, Tim Sturge, and Jamie Taylor. 2008. Freebase: A collaboratively created graph database for structuring human knowledge. In International Conference on Management of Data, pages 1247-1250.
6. Antoine Bordes, Sumit Chopra, and Jason Weston. 2014a. Question answering with subgraph embeddings. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 615-620. Association for Computational Linguistics.
7. Antoine Bordes, Jason Weston, and Nicolas Usunier. 2014b. Open question answering with weakly supervised embedding models. In Machine Learning and Knowledge Discovery in Databases-European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part I, pages 165-180.
8. Qingqing Cai and Alexander Yates. 2013. Large-scale semantic parsing via schema matching and lexicon extension. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 423-433. Association for Computational Linguistics.
9. Ronan Collobert, Jason Weston, Ĺeon Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa. 2011. Natural language processing (almost) from scratch. J. Mach. Learn. Res., 12:2493-2537, November.
10. John Duchi, Elad Hazan, and Yoram Singer. 2011. Adaptive subgradient methods for online learning and stochastic optimization. JMLR, 12:2121-2159, July.
11. Anthony Fader, Stephen Soderland, and Oren Etzioni. 2011. Identifying relations for open information extraction. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP 11, pages 1535-1545, Stroudsburg, PA, USA. Association for Computational Linguistics.
12. Anthony Fader, Luke Zettlemoyer, and Oren Etzioni. 2013. Paraphrase-driven learning for open question answering. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1608-1618. Association for Computational Linguistics.
13. Edward Grefenstette, Phil Blunsom, Nando de Freitas, and Moritz Karl Hermann, 2014. Proceedings of the ACL 2014Workshop on Semantic Parsing, chapter A Deep Architecture for Semantic Parsing, pages 22-27. Association for Computational Linguistics.
14. Mohit Iyyer, Jordan Boyd-Graber, Leonardo Claudino, Richard Socher, and Hal Daumé. 2014. A neural network for factoid question answering over paragraphs. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 633-644. Association for Computational Linguistics.
15. Jayant Krishnamurthy and Tom M Mitchell. 2012. Weakly supervised training of semantic parsers. In Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pages 754-765. Association for Computational Linguistics.
16. Tom Kwiatkowski, Luke Zettlemoyer, Sharon Goldwater, and Mark Steedman. 2010. Inducing probabilistic ccg grammars from logical form with higherorder unification. In Proceedings of the 2010 conference on empirical methods in natural language processing, pages 1223-1233. Association for Computational Linguistics.
17. Tom Kwiatkowski, Eunsol Choi, Yoav Artzi, and Luke Zettlemoyer. 2013. Scaling semantic parsers with on-The-fly ontology matching. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pages 1545-1556. Association for Computational Linguistics.
18. Xin Li and Dan Roth. 2002. Learning question classifiers. In COLING, pages 1-7.
19. P. Liang, M. I. Jordan, and D. Klein. 2011. Learning dependency-based compositional semantics. In Association for Computational Linguistics (ACL), pages 590-599.
20. Thomas Lin, Mausam, and Oren Etzioni. 2012. Entity linking at web scale. In Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction, AKBCWEKEX 12, pages 84-88, Stroudsburg, PA, USA. Association for Computational Linguistics.
21. Siva Reddy, Mirella Lapata, and Mark Steedman. 2014. Large-scale semantic parsing without question-Answer pairs. Transactions of the Association of Computational Linguistics-Volume 2, Issue 1, pages 377-392.
22. D.E. Rumelhart, G.E. Hinton, and R.J. Williams. 1986. Learning representations by back-propagating errors. Nature, 323(6088):533-536.
23. Nathan Srebro and Adi Shraibman. 2005. Rank, tracenorm and max-norm. In Proceedings of the 18th annual conference on Learning Theory, pages 545-560. Springer-Verlag.
24. Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov. 2014. Dropout: A simple way to prevent neural networks from overfitting. Journal of Machine Learning Research, 15:1929-1958.
25. Joseph Turian, Lev Ratinov, and Yoshua Bengio. 2010. Word representations: A simple and general method for semi-supervised learning. In ACL.
26. Xuchen Yao and Benjamin Van Durme. 2014. Information extraction over structured data: Question answering with freebase. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 956-966. Association for Computational Linguistics.
27. Xuchen Yao, Jonathan Berant, and Benjamin Van Durme, 2014. Proceedings of the ACL 2014 Workshop on Semantic Parsing, chapter Freebase QA: Information Extraction or Semantic Parsing?, pages 82-86. Association for Computational Linguistics.
28. Wen-Tau Yih, Xiaodong He, and Christopher Meek. 2014. Semantic parsing for single-relation question answering. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 643-648. Association for Computational Linguistics.
29. Lei Yu, Karl Moritz Hermann, Phil Blunsom, and Stephen Pulman. 2014. Deep Learning for Answer Sentence Selection. In NIPS Deep Learning Workshop, December.
30. Luke S. Zettlemoyer and Michael Collins. 2005. Learning to map sentences to logical form: Structured classification with probabilistic categorial grammars. In In Proceedings of the 21st Conference on Uncertainty in AI, pages 658-666