Open question answering with weakly supervised embedding models

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8724 LNAI, Issue PART 1, 2014, Pages 165-180

  Bordes, Antoine ^a   Weston, Jason ^b   Usunier, Nicolas ^a  

^a UNIVERSITÉ DE TECHNOLOGIE DE COMPIÈGNE   (France)

^b GOOGLE INC   (United States)

Author keywords

embedding models; natural language processing; question answering; weak supervision

Indexed keywords

EID: 84907010943     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-662-44848-9_11     Document Type: Conference Paper

References (26)

1. Banko, M., Brill, E., Dumais, S., Lin, J.: Askmsr: Question answering using the worldwide web. In: Proceedings of 2002 AAAI Spring Symposium on Mining Answers from Texts and Knowledge Bases (2002)
2. Bengio, Y., Ducharme, R., Vincent, P., Jauvin, C.: A neural probabilistic language model. Journal of Machine Learning Research 3, 1137-1155 (2003)
3. Berant, J., Chou, A., Frostig, R., Liang, P.: Semantic parsing on Freebase from question-answer pairs. In: Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (October 2013)
4. Bollacker, K., Evans, C., Paritosh, P., Sturge, T., Taylor, J.: Freebase: a collaboratively created graph database for structuring human knowledge. In: Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data. ACM (2008)
5. Bordes, A., Glorot, X., Weston, J., Bengio, Y.: Joint learning of words and meaning representations for open-text semantic parsing. In: Proc. of the 15th Intern. Conf. on Artif. Intel. and Stat., vol. 22. JMLR W&CP (2012)
6. Cai, Q., Yates, A.: Large-scale semantic parsing via schema matching and lexicon extension. In: Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics. Long Papers, vol. 1 (August 2013)
7. Collobert, R., Weston, J., Bottou, L., Karlen, M., Kavukcuoglu, K., Kuksa, P.: Natural language processing (almost) from scratch. Journal of Machine Learning Research 12, 2493-2537 (2011)
8. Duchi, J., Hazan, E., Singer, Y.: Adaptive subgradient methods for online learning and stochastic optimization. The Journal of Machine Learning Research 12 (2011)
9. Fader, A., Soderland, S., Etzioni, O.: Identifying relations for open information extraction. In: Proceedings of the Conference of Empirical Methods in Natural Language Processing (EMNLP 2011), Edinburgh, Scotland, UK, July 27-31 (2011)
10. Fader, A., Zettlemoyer, L., Etzioni, O.: Paraphrase-driven learning for open question answering. In: Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, Sofia, Bulgaria, pp. 1608-1618 (2013)
11. Fader, A., Zettlemoyer, L., Etzioni, O.: Open question answering over curated and extracted knowledge bases. In: KDD (2014)
12. Hoffmann, R., Zhang, C., Ling, X., Zettlemoyer, L., Weld, D.S.: Knowledge-based weak supervision for information extraction of overlapping relations. In: Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, vol. 1 (2011)
13. Kwiatkowski, T., Choi, E., Artzi, Y., Zettlemoyer, L.: Scaling semantic parsers with on-the-fly ontology matching. In: Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (October 2013)
14. Kwok, C., Etzioni, O., Weld, D.S.: Scaling question answering to the web. ACM Transactions on Information Systems (TOIS) 19(3) (2001)
15. Lao, N., Subramanya, A., Pereira, F., Cohen, W.W.: Reading the web with learned syntactic-semantic inference rules. In: Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (2012)
16. Lehmann, J., Isele, R., Jakob, M., Jentzsch, A., Kontokostas, D., Mendes, P.N., Hellmann, S., Morsey, M., van Kleef, P., Auer, S., Bizer, C.: DBpedia - a large-scale, multilingual knowledge base extracted from wikipedia. Semantic Web Journal (2014)
17. Mintz, M., Bills, S., Snow, R., Jurafsky, D.: Distant supervision for relation extraction without labeled data. In: Proc. of the Conference of the 47th Annual Meeting of ACL (2009)
18. Pomikálek, J., Jakubícek, M., Rychlỳ, P.: Building a 70 billion word corpus of english from clueweb. In: LREC, pp. 502-506 (2012)
19. Recht, B., Ré, C., Wright, S.J., Niu, F.: Hogwild!: A lock-free approach to parallelizing stochastic gradient descent. In: Advances in Neural Information Processing Systems (NIPS 24) (2011)
20. Riedel, S., Yao, L., McCallum, A., Marlin, B.M.: Relation extraction with matrix factorization and universal schemas. In: Proceedings of NAACL-HLT (2013)
21. Socher, R., Perelygin, A., Wu, J.Y., Chuang, J., Manning, C.D., Ng, A.Y., Potts, C.: Recursive deep models for semantic compositionality over a sentiment treebank. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP) (2013)
22. Unger, C., Bühmann, L., Lehmann, J., Ngonga Ngomo, A.C., Gerber, D., Cimiano, P.: Template-based question answering over rdf data. In: Proceedings of the 21st International Consference on World Wide Web (2012)
23. Voorhees, E.M., Tice, D.M.: Building a question answering test collection. In: Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM (2000)
24. Weston, J., Bengio, S., Usunier, N.: Large scale image annotation: learning to rank with joint word-image embeddings. Machine Learning 81(1) (2010)
25. Weston, J., Bordes, A., Yakhnenko, O., Usunier, N.: Connecting language and knowledge bases with embedding models for relation extraction. In: Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pp. 1366-1371 (2013)
26. Yahya, M., Berberich, K., Elbassuoni, S., Ramanath, M., Tresp, V., Weikum, G.: Natural language questions for the web of data. In: Proceedings of the Conference on Empirical Methods in Natural Language Processing (2012)