Semantic parsing on freebase from question-answer pairs

EMNLP 2013 - 2013 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference

Volumn , Issue , 2013, Pages 1533-1544

  Berant, Jonathan ^a   Chou, Andrew ^a   Frostig, Roy ^a   Liang, Percy ^a  

^a Stanford University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; KNOWLEDGE BASED SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS;

KNOWLEDGE BASE; LOGICAL FORMS; LOGICAL PREDICATE; QUESTION-ANSWER PAIRS; SEMANTIC PARSING; STATE OF THE ART; TEXT CORPORA; TWO WAYS;

SEMANTICS;

EID: 84904308637     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (43)

1. Y. Artzi and L. Zettlemoyer. 2011. Bootstrapping semantic parsers from conversations. In Empirical Methods in Natural Language Processing (EMNLP), pages 421-432.
2. Y. Artzi and L. Zettlemoyer. 2013. Weakly supervised learning of semantic parsers for mapping instructions to actions. Transactions of the Association for Computational Linguistics (TACL), 1:49-62.
3. M. Banko, M. J. Cafarella, S. Soderland, M. Broadhead, and O. Etzioni. 2007. Open information extraction from the web. In International Joint Conference on Artificial Intelligence (IJCAI), pages 2670-2676.
4. S. Branavan, L. Zettlemoyer, and R. Barzilay. 2010. Reading between the lines: Learning to map high-level instructions to commands. In Association for Computational Linguistics (ACL), pages 1268-1277.
5. S. Branavan, D. Silver, and R. Barzilay. 2011. Learning to win by reading manuals in a Monte-Carlo framework. In Association for Computational Linguistics (ACL), pages 268-277.
6. S. Branavan, N. Kushman, T. Lei, and R. Barzilay. 2012. Learning high-level planning from text. In Association for Computational Linguistics (ACL), pages 126-135.
7. Q. Cai and A. Yates. 2013. Large-scale semantic parsing via schema matching and lexicon extension. In Association for Computational Linguistics (ACL).
8. A. Carlson, J. Betteridge, B. Kisiel, B. Settles, E. R. H. Jr, and T. M. Mitchell. 2010. Toward an architecture for never-ending language learning. In Association for the Advancement of Artificial Intelligence (AAAI).
9. A. X. Chang and C. Manning. 2012. SUTime: A library for recognizing and normalizing time expressions. In Language Resources and Evaluation (LREC), pages 3735-3740.
10. D. Chen. 2012. Fast online lexicon learning for grounded language acquisition. In Association for Computational Linguistics (ACL).
11. H. H. Clark. 1975. Bridging. In Workshop on theoretical issues in natural language processing, pages 169-174.
12. J. Clarke, D. Goldwasser, M. Chang, and D. Roth. 2010. Driving semantic parsing from the world's response. In Computational Natural Language Learning (CoNLL), pages 18-27.
13. J. Duchi, E. Hazan, and Y. Singer. 2010. Adaptive subgradient methods for online learning and stochastic optimization. In Conference on Learning Theory (COLT).
14. A. Fader, S. Soderland, and O. Etzioni. 2011. Identifying relations for open information extraction. In Empirical Methods in Natural Language Processing (EMNLP).
15. A. Fader, L. Zettlemoyer, and O. Etzioni. 2013. Paraphrase-driven learning for open question answering. In Association for Computational Linguistics (ACL).
16. D. Goldwasser, R. Reichart, J. Clarke, and D. Roth. 2011. Confidence driven unsupervised semantic parsing. In Association for Computational Linguistics (ACL), pages 1486-1495.
17. Google. 2013. Freebase data dumps (2013-06-09). https://developers.google.com/freebase/data.
18. M. A. Hearst. 1992. Automatic acquisition of hyponyms from large text corpora. In Interational Conference on Computational linguistics, pages 539-545.
19. R. Hoffmann, C. Zhang, X. Ling, L. S. Zettlemoyer, and D. S. Weld. 2011. Knowledge-based weak supervision for information extraction of overlapping relations. In Association for Computational Linguistics (ACL), pages 541-550.
20. J. Krishnamurthy and T. Kollar. 2013. Jointly learning to parse and perceive: Connecting natural language to the physical world. Transactions of the Association for Computational Linguistics (TACL), 1:193-206.
21. J. Krishnamurthy and T. Mitchell. 2012. Weakly supervised training of semantic parsers. In Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP/CoNLL), pages 754-765.
22. N. Kushman and R. Barzilay. 2013. Using semantic unification to generate regular expressions from natural language. In Human Language Technology and North American Association for Computational Linguistics (HLT/NAACL), pages 826-836.
23. T. Kwiatkowski, L. Zettlemoyer, S. Goldwater, and M. Steedman. 2010. Inducing probabilistic CCG grammars from logical form with higher-order unification. In Empirical Methods in Natural Language Processing (EMNLP), pages 1223-1233.
24. T. Kwiatkowski, L. Zettlemoyer, S. Goldwater, and M. Steedman. 2011. Lexical generalization in CCG grammar induction for semantic parsing. In Empirical Methods in Natural Language Processing (EMNLP), pages 1512-1523.
25. N. Lao, T. Mitchell, and W. W. Cohen. 2011. Random walk inference and learning in a large scale knowledge base. In Empirical Methods in Natural Language Processing (EMNLP).
26. T. Lei, F. Long, R. Barzilay, and M. Rinard. 2013. From natural language specifications to program input parsers. In Association for Computational Linguistics (ACL).
27. P. Liang, M. I. Jordan, and D. Klein. 2011. Learning dependency-based compositional semantics. In Association for Computational Linguistics (ACL), pages 590-599.
28. P. Liang. 2013. Lambda dependency-based compositional semantics. Technical report, ArXiv.
29. T. Lin, Mausam, and O. Etzioni. 2012. Entity linking at web scale. In Knowledge Extraction Workshop (AKBC-WEKEX).
30. Masaum, M. Schmitz, R. Bart, S. Soderland, and O. Etzioni. 2012. Open language learning for information extraction. In Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP/CoNLL), pages 523-534.
31. C. Matuszek, N. FitzGerald, L. Zettlemoyer, L. Bo, and D. Fox. 2012. A joint model of language and perception for grounded attribute learning. In International Conference on Machine Learning (ICML).
32. R. McDonald, K. Crammer, and F. Pereira. 2005. Online large-margin training of dependency parsers. In Association for Computational Linguistics (ACL), pages 91-98.
33. H. Poon. 2013. Grounded unsupervised semantic parsing. In Association for Computational Linguistics (ACL).
34. A. Popescu, O. Etzioni, and H. Kautz. 2003. Towards a theory of natural language interfaces to databases. In International Conference on Intelligent User Interfaces (IUI), pages 149-157.
35. S. Riedel, L. Yao, and A. McCallum. 2010. Modeling relations and their mentions without labeled text. In Machine Learning and Knowledge Discovery in Databases (ECML PKDD), pages 148-163.
36. M. Surdeanu, J. Tibshirani, R. Nallapati, and C. D. Manning. 2012. Multi-instance multi-label learning for relation extraction. In Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP/CoNLL), pages 455-465.
37. S. Tellex, T. Kollar, S. Dickerson, M. R. Walter, A. G. Banerjee, S. J. Teller, and N. Roy. 2011. Understanding natural language commands for robotic navigation and mobile manipulation. In Association for the Advancement of Artificial Intelligence (AAAI).
38. C. Unger, L. Bhmann, J. Lehmann, A. Ngonga, D. Gerber, and P. Cimiano. 2012. Template-based question answering over RDF data. In World Wide Web (www), pages 639-648.
39. Y. W. Wong and R. J. Mooney. 2007. Learning synchronous grammars for semantic parsing with lambda calculus. In Association for Computational Linguistics (ACL), pages 960-967.
40. M. Yahya, K. Berberich, S. Elbassuoni, M. Ramanath, V. Tresp, and G. Weikum. 2012. Natural language questions for the web of data. In Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP/CoNLL), pages 379-390.
41. M. Zelle and R. J. Mooney. 1996. Learning to parse database queries using inductive logic proramming. In Association for the Advancement of Artificial Intelligence (AAAI), pages 1050-1055.
42. L. S. Zettlemoyer and M. Collins. 2005. Learning to map sentences to logical form: Structured classification with probabilistic categorial grammars. In Uncertainty in Artificial Intelligence (UAI), pages 658-666.
43. C. Zhang, R. Hoffmann, and D. S. Weld. 2012. Ontological smoothing for relation extraction with minimal supervision. In Association for the Advancement of Artificial Intelligence (AAAI).