Learning to solve arithmeticword problems with verb categorization

EMNLP 2014 - 2014 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference

Volumn , Issue , 2014, Pages 523-533

  Hosseini, Mohammad Javad ^a   Hajishirzi, Hannaneh ^a   Etzioni, Oren ^b   Kushman, Nate ^c  

^a UNIVERSITY OF WASHINGTON   (United States)

^b Allen Institute for Artificial Intelligence Seattle   (United States)

^c MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PRIMARY SCHOOLS; PROBLEM STATEMENT; WORD PROBLEM;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84960169728     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/d14-1058     Document Type: Conference Paper

References (30)

1. Antoine Bordes, Nicolas Usunier, and Jason Weston. 2010. Label ranking under ambiguous supervision for learning semantic correspondences. In Proc. International Conference on Machine Learning (ICML).
2. SRK Branavan, Harr Chen, Luke S. Zettlemoyer, and Regina Barzilay. 2009. Reinforcement learning for mapping instructions to actions. In Proc. of the Annual Meeting of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing of the AFNLP (ACL-AFNLP).
3. SRK Branavan, Nate Kushman, Tao Lei, and Regina Barzilay. 2012. Learning high-level planning from text. In Proc. of the Annual Meeting of the Association for Computational Linguistics (ACL).
4. Nathanael Chambers and Dan Jurafsky. 2009. Unsupervised learning of narrative schemas and their participants. In Proc. of the Annual Meeting of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing of the AFNLP (ACL-AFNLP).
5. David Chen, Joohyun Kim, and Raymond Mooney. 2010. Training a multilingual sportscaster: Using perceptual context to learn language. Journal of Artificial Intelligence Research, 37.
6. Marie-Catherine de Marneffe, Bill MacCartney, and Christopher D. Manning. 2006. Generating typed dependency parses from phrase structure parses. In Proc. Language Resources and Evaluation Conference (LREC).
7. Jacob Eisenstein, James Clarke, Dan Goldwasser, and Dan Roth. 2009. Reading to learn: Constructing features from semantic abstracts. In Proc. Conference on Empirical Methods in Natural Language Processing (EMNLP).
8. Edward A. Feigenbaum and Julian Feldman, editors. 1963. Computers and Thought. McGraw Hill, New York.
9. Jenny Rose Finkel, Trond Grenager, and Christopher Manning. 2005. Incorporating non-local information into information extraction systems by gibbs sampling. In Proc. of the Annual Meeting of the Association for Computational Linguistics (ACL).
10. Ruifang Ge and Raymond J. Mooney. 2006. Discriminative reranking for semantic parsing. In Proc. of the Annual Meeting of the Association for Computational Linguistics (ACL).
11. Dan Goldwasser and Dan Roth. 2011. Learning from natural instructions. In Proceedings of International Joint Conference on Artificial Intelligence (IJCAI).
12. Dan Goldwasser, Roi Reichart, James Clarke, and Dan Roth. 2011. Confidence driven unsupervised semantic parsing. In Proc. of the Annual Meeting of the Association for Computational Linguistics (ACL).
13. Hannaneh Hajishirzi, Julia Hockenmaier, Erik T. Mueller, and Eyal Amir. 2011. Reasoning about robocup soccer narratives. In Proc. Conference on Uncertainty in Artificial Intelligence (UAI).
14. Rohit J. Kate and Raymond J. Mooney. 2007. Learning language semantics from ambiguous supervision. In Proc. Conference of the Association for the Advancement of Artificial Intelligence (AAAI).
15. Nate Kushman and Regina Barzilay. 2013. Using semantic unification to generate regular expressions from natural language. In Proceeding of the Annual Meeting of the North American Chapter of the Association for Computational Linguistics.
16. Nate Kushman, Yoav Artzi, Luke Zettlemoyer, and Regina Barzilay. 2014. Learning to automatically solve algebra word problems. In Proc. of the Annual Meeting of the Association for Computational Linguistics (ACL).
17. Iddo Lev, Bill MacCartney, Christopher D. Manning, and Roger Levy. 2004. Solving logic puzzles: From robust processing to precise semantics. In Workshop on Text Meaning and Interpretation at Association for Computational Linguistics (ACL).
18. Iddo Lev. 2007. Packed Computation of Exact Meaning Representations. Ph.D. thesis, CS, Stanford University.
19. Percy Liang, Michael I. Jordan, and Dan Klein. 2009. Learning semantic correspondences with less supervision. In Proc. of the Annual Meeting of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing of the AFNLP (ACL-AFNLP).
20. Dekang Lin. 1998. An information-theoretic definition of similarity. In Proc. International Conference on Machine Learning (ICML).
21. John McCarthy. 1980. Circumscription-a form of nonmonotonic reasoning. Artificial Intelligence, 13.
22. George A Miller. 1995. Wordnet: A lexical database for english. Communications of the ACM, 38.
23. Mee Young Park and Trevor Hastie. 2007. L1-regularization path algorithm for generalized linear models. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 69.
24. Hoifung Poon and Pedro Domingos. 2009. Unsupervised semantic parsing. In Proc. Conference on Empirical Methods in Natural Language Processing (EMNLP).
25. Karthik Raghunathan, Heeyoung Lee, Sudarshan Rangarajan, Nathanael Chambers, Mihai Surdeanu, Dan Jurafsky, and Christopher Manning. 2010. A multi-pass sieve for coreference resolution. In Proc. Conference on Empirical Methods in Natural Language Processing (EMNLP).
26. Philip Resnik. 1995. Using information content to evaluate semantic similarity in a taxonomy. In International joint conference on Artificial intelligence (IJCAI).
27. Benjamin Snyder and Regina Barzilay. 2007. Database-text alignment via structured multilabel classification. In Proceedings of International Joint Conference on Artificial Intelligence (IJCAI).
28. Adam Vogel and Daniel Jurafsky. 2010. Learning to follow navigational directions. In Proc. of the Annual Meeting of the Association for Computational Linguistics (ACL).
29. Ian HWitten, Eibe Frank, Leonard E Trigg, Mark A Hall, Geoffrey Holmes, and Sally Jo Cunningham. 1999. Weka: Practical machine learning tools and techniques with java implementations.
30. Luke S. Zettlemoyer and Michael Collins. 2005. Learning to map sentences to logical form: Structured classification with probabilistic categorial grammars. In Proc. Conference on Uncertainty in Artificial Intelligence (UAI).