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keywords = semparse (54 entries)  Select: All None   Action: Show BibTeX

Pablo Gervas. 2014. Composing Narrative Discourse for Stories of Many Characters: a Case Study over a Chess Game . Literary and Linguistic Computing. (submitted). [semparse] pdf google scholar
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, pp 1545--1556, Seattle, Washington, USA, October. Association for Computational Linguistics. [spf, semparse, d=geo, d=freebase] url google scholar
Nicholas FitzGerald, Yoav Artzi and Luke Zettlemoyer. 2013. Learning Distributions over Logical Forms for Referring Expression Generation. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pp 1914--1925, Seattle, Washington, USA, October. Association for Computational Linguistics. [spf, semparse] url google scholar
Tao Lei, Fan Long, Regina Barzilay and Martin Rinard. 2013. From Natural Language Specifications to Program Input Parsers. In Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp 1294--1303, Sofia, Bulgaria, August. Association for Computational Linguistics. [semparse] url google scholar
Nate Kushman and Regina Barzilay. 2013. Using Semantic Unification to Generate Regular Expressions from Natural Language. In Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp 826--836, Atlanta, Georgia, June. Association for Computational Linguistics. [semparse] url google scholar
Yoav Artzi and Luke Zettlemoyer. 2013. Weakly supervised learning of semantic parsers for mapping instructions to actions. Transactions of the Association for Computational Linguistics, vol 1, no 1, pp 49--62. cit 6. [semparse, d=nav, spf] pdf google scholar
Percy Liang, Michael I Jordan and Dan Klein. 2013. Learning dependency-based compositional semantics. Computational Linguistics, vol 39, no 2, pp 389--446. MIT Press. cit 79. [semparse, d=jobs, d=geo] pdf annote google scholar
Antoine Bordes, Léon Bottou, Ronan Collobert, Dan Roth, Jason Weston and Luke Zettlemoyer. 2013. Introduction to the special issue on learning semantics. Machine Learning, pp 1--5. Springer. [nlpcourse, semparse] url pdf google scholar
Yoav Artzi and Luke Zettlemoyer. 2013. UW SPF: The University of Washington Semantic Parsing Framework. arXiv:1311.3011. [spf, semparse] pdf google scholar
Yoav Artzi, Nicholas FitzGerald and Luke Zettlemoyer. 2013. Semantic parsing with combinatory categorial grammars. ACL 2013 Tutorial. [spf, semparse, afz] pdf google scholar
Antoine Bordes, Xavier Glorot, Jason Weston and Yoshua Bengio. 2012. Joint learning of words and meaning representations for open-text semantic parsing. In International Conference on Artificial Intelligence and Statistics, pp 127--135. cit 12. [semparse] pdf abstract annote google scholar
Cynthia Matuszek, Nicholas FitzGerald, Luke Zettlemoyer, Liefeng Bo and Dieter Fox. 2012. A joint model of language and perception for grounded attribute learning. ICML. cit 20. [semparse] url annote google scholar
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, pp 754--765. Association for Computational Linguistics. cit 10. [semparse, d=freebase] pdf google scholar
Percy Liang, Michael Jordan and Dan Klein. 2011. Learning Dependency-Based Compositional Semantics. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pp 590--599, Portland, Oregon, USA, June. Association for Computational Linguistics. cit 79. [semparse, afz] url annote google scholar
Yoav Artzi and Luke Zettlemoyer. 2011. Bootstrapping semantic parsers from conversations. In Proceedings of the conference on empirical methods in natural language processing, pp 421--432. Association for Computational Linguistics. cit 20. [semparse, d=lucent, d=bbn, spf] pdf abstract annote google scholar
David L Chen and Raymond J Mooney. 2011. Learning to Interpret Natural Language Navigation Instructions from Observations.. In AAAI, vol 2, pp 1--2. cit 47. [semparse, d=nav] pdf url url abstract google scholar
Dan Goldwasser, Roi Reichart, James Clarke and Dan Roth. 2011. Confidence Driven Unsupervised Semantic Parsing.. In ACL, pp 1486--1495. cit 29. [semparse, d=geo] pdf abstract google scholar
David L Chen and Raymond J Mooney. 2011. Panning for gold: finding relevant semantic content for grounded language learning. Procs. MLSLP. cit 6. [semparse, d=nav] pdf google scholar
Dan Goldwasser and Dan Roth. 2011. Learning from natural instructions. In Proceedings of the Twenty-Second international joint conference on Artificial Intelligence-Volume Volume Three, pp 1794--1800. AAAI Press. cit 15. [semparse, d=freecell] pdf abstract google scholar
Tom Kwiatkowski, Luke Zettlemoyer, Sharon Goldwater and Mark Steedman. 2011. Lexical generalization in CCG grammar induction for semantic parsing. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp 1512--1523. Association for Computational Linguistics. cit 31. [semparse, d=geo, d=atis, spf] pdf annote google scholar
SRK Branavan, David Silver and Regina Barzilay. 2011. Learning to win by reading manuals in a Monte-Carlo framework. In ACL. Association for Computing Machinery. cit 20. [semparse, d=civ2] url google scholar
David L Chen, Joohyun Kim and Raymond J Mooney. 2010. Training a multilingual sportscaster: Using perceptual context to learn language. Journal of Artificial Intelligence Research, vol 37, no 1, pp 397--436. cit 38. [semparse, d=robocup] pdf abstract google scholar
SRK Branavan, Luke S Zettlemoyer and Regina Barzilay. 2010. Reading between the lines: Learning to map high-level instructions to commands. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pp 1268--1277. Association for Computational Linguistics. cit 28. [semparse, d=windows] url google scholar
James Clarke, Dan Goldwasser, Ming-Wei Chang and Dan Roth. 2010. Driving semantic parsing from the world's response. In Proceedings of the Fourteenth Conference on Computational Natural Language Learning, pp 18--27. Association for Computational Linguistics. cit 52. [semparse, d=geo, afz] pdf abstract google scholar
Tom Kwiatkowski, Luke Zettlemoyer, Sharon Goldwater and Mark Steedman. 2010. Inducing probabilistic CCG grammars from logical form with higher-order unification. In Proceedings of the 2010 conference on empirical methods in natural language processing, pp 1223--1233. Association for Computational Linguistics. cit 82. [spf, semparse, d=geo] pdf annote google scholar
Adam Vogel and Dan Jurafsky. 2010. Learning to follow navigational directions. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pp 806--814. Association for Computational Linguistics. cit 50. [semparse, d=maptask] pdf abstract google scholar
Hoifung Poon and Pedro Domingos. 2010. Unsupervised ontology induction from text. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pp 296--305. Association for Computational Linguistics. cit 62. [semparse] pdf abstract google scholar
Hoifung Poon and Pedro Domingos. 2009. Unsupervised semantic parsing. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1-Volume 1, pp 1--10. Association for Computational Linguistics. [semparse] annote google scholar
Timothee Cour, Benjamin Sapp, Chris Jordan and Benjamin Taskar. 2009. Learning from ambiguously labeled images. In Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on, pp 919--926. IEEE. [semparse] google scholar
SRK Branavan, Harr Chen, Luke S Zettlemoyer and Regina Barzilay. 2009. Reinforcement learning for mapping instructions to actions. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1-Volume 1, pp 82--90. Association for Computational Linguistics. cit 60. [semparse, d=windows] url google scholar
Percy Liang, Michael I Jordan and Dan Klein. 2009. Learning semantic correspondences with less supervision. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1-Volume 1, pp 91--99. Association for Computational Linguistics. cit 67. [semparse, d=robocup] abstract google scholar
Jacob Eisenstein, James Clarke, Dan Goldwasser and Dan Roth. 2009. Reading to learn: Constructing features from semantic abstracts. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2-Volume 2, pp 958--967. Association for Computational Linguistics. cit 12. [semparse, d=freecell] pdf abstract google scholar
Luke S Zettlemoyer and Michael Collins. 2009. Learning context-dependent mappings from sentences to logical form. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2-Volume 2, pp 976--984. Association for Computational Linguistics. cit 71. [semparse, d=atis] pdf pdf google scholar
David L Chen and Raymond J Mooney. 2008. Learning to sportscast: a test of grounded language acquisition. In Proceedings of the 25th international conference on Machine learning, pp 128--135. ACM. cit 53. [semparse, d=robocup] pdf url ppt abstract google scholar
Rohit J Kate and Raymond J Mooney. 2007. Learning language semantics from ambiguous supervision. In AAAI, vol 7, pp 895--900. cit 44. [semparse, d=geo] pdf abstract google scholar
Luke S Zettlemoyer and Michael Collins. 2007. Online learning of relaxed CCG grammars for parsing to logical form. In In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL-2007. Citeseer. cit 121. [semparse, d=atis, spf, d=geo, afz] pdf abstract annote google scholar
Matt MacMahon, Brian Stankiewicz and Benjamin Kuipers. 2006. Walk the talk: connecting language, knowledge, and action in route instructions. In proceedings of the 21st national conference on Artificial intelligence - Volume 2, pp 1475--1482, Boston, Massachusetts. AAAI Press. cit 78. [semparse, d=nav] url pdf abstract google scholar
Deb Roy and Ehud Reiter. 2005. Connecting Language to the World. Artificial Intelligence, vol 167, no 1--2. [SituatedLanguage, semparse] pdf google scholar
Luke S Zettlemoyer and Michael Collins. 2005. Learning to map sentences to logical form: Structured classification with probabilistic categorial grammars. In Proceedings of the Twenty First Conference on Uncertainty in Artificial Intelligence (UAI). cit 214. [semparse, d=geo, d=jobs, spf, afz] pdf pdf annote google scholar
Peter Gorniak. 2005. The Affordance-Based Concept. Ph.D. in Media Arts and Sciences Thesis. MIT. [SituatedLanguage, semparse] pdf google scholar
Deb Roy. 2005. Semiotic schemas: A framework for grounding language in action and perception. Artificial Intelligence, vol 167, no 1--2. [SituatedLanguage, semparse] pdf google scholar
Johan Bos, Stephen Clark, Mark Steedman, James R. Curran and Julia Hockenmaier. 2004. Wide-Coverage Semantic Representations from a CCG Parser. In Proceedings of Coling 2004, pp 1240--1246, Geneva, Switzerland, Aug. COLING. [semparse] pdf google scholar
Luc Steels. 2003. Evolving grounded communication for robots. Trends in cognitive sciences, vol 7, no 7, pp 308--312. Elsevier. [semparse] pdf google scholar
Ian Horswill. 2001. Tagged Behavior-Based Systems: Integrating Cognition with Embodied Activity. IEEE Intelligent Systems. [SituatedLanguage, semparse] pdf google scholar
B. Coyne and R. Sproat. 2001. WordsEye: an automatic text-to-scene conversion system. In Proceedings of the 28th annual conference on Computer graphics and interactive techniques, pp 487--496. ACM. [3D, semparse] pdf google scholar
Lappoon R. Tang and Raymond J. Mooney . 2000. Automated Construction of Database Interfaces: Intergrating Statistical and Relational Learning for Semantic Parsing. In 2000 Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, pp 133--141, Hong Kong, China, October. Association for Computational Linguistics. [semparse, d=jobs, d=geo, d=restaurant] url google scholar
Luc Steels and Frederic Kaplan. 1999. Bootstrapping grounded word semantics. Linguistic evolution through language acquisition: formal and computational models, pp 53--73. Cambridge University Press. [semparse] pdf google scholar
John M. Zelle and Raymond J. Mooney . 1996. Learning to Parse Database Queries using Inductive Logic Programming. In AAAI/IAAI, pp 1050-1055, Portland, OR, August. AAAI Press/MIT Press. (introduced geo). cit 147. [semparse, d=geo] pdf url annote google scholar
Scott Miller, David Stallard, Robert Bobrow and Richard Schwartz. 1996. A fully statistical approach to natural language interfaces. In Proceedings of the 34th annual meeting on Association for Computational Linguistics, pp 55--61. Association for Computational Linguistics. cit 113. [semparse, d=atis] pdf google scholar
Jeffrey Mark Siskind. 1994. Grounding language in perception. Artificial Intelligence Review, vol 8, no 5, pp 371--391. Springer. (Abigail system). [3D, semparse] pdf google scholar
Jeffrey Mark Siskind. 1992. Naive physics, event perception, lexical semantics, and language acquisition. Massachusetts Institute of Technology. [NLP, semparse] pdf google scholar
Anne H Anderson, Miles Bader, Ellen Gurman Bard, Elizabeth Boyle, Gwyneth Doherty, Simon Garrod, Stephen Isard, Jacqueline Kowtko, Jan McAllister, Jim Miller, et al. 1991. The HCRC map task corpus. Language and speech, vol 34, no 4, pp 351--366. SAGE Publications. [d=maptask, semparse] pdf google scholar
Terry Winograd. 1971. Procedures as a representation for data in a computer program for understanding natural language. MIT. [nlpcourse, semparse] pdf google scholar
Fritz Heider and Marianne Simmel. 1944. An experimental study of apparent behavior. The American Journal of Psychology, pp 243--259. JSTOR. [semparse] pdf url google scholar

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