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organization = Association for Computational Linguistics (48 entries)  Select: All None   Action: Show BibTeX

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
Eric H Huang, Richard Socher, Christopher D Manning and Andrew Y Ng. 2012. Improving word representations via global context and multiple word prototypes. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers-Volume 1, pp 873--882. Association for Computational Linguistics. [fulbright] google scholar
V.I. Spitkovsky, H. Alshawi, A.X. Chang and D. Jurafsky. 2011. Unsupervised dependency parsing without gold part-of-speech tags. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp 1281--1290. Association for Computational Linguistics. [uparse, udep] google scholar
V.I. Spitkovsky, H. Alshawi and D. Jurafsky. 2011. Lateen EM: Unsupervised training with multiple objectives, applied to dependency grammar induction. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp 1269--1280. Association for Computational Linguistics. [uparse, udep] google scholar
S.B. Cohen, D. Das and N.A. Smith. 2011. Unsupervised structure prediction with non-parallel multilingual guidance. In Proceedings of the Conference on Empirical Methods in Natural Language Processing, pp 50--61. Association for Computational Linguistics. [uparse] 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
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
Mehmet Ali Yatbaz and Deniz Yuret. 2010. Unsupervised part of speech tagging using unambiguous substitutes from a statistical language model. In Proceedings of the 23rd International Conference on Computational Linguistics: Posters, pp 1391--1398, August. Association for Computational Linguistics. [ai.ku, fulbright, scode] url google scholar
E. Bicici and D. Yuret. 2010. L 1 regularized regression for reranking and system combination in machine translation. In Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR, pp 282--289, July. Association for Computational Linguistics. [ai.ku] url google scholar
D. Yuret, A. Han and Z. Turgut. 2010. Semeval-2010 task 12: Parser evaluation using textual entailments. In Proceedings of the 5th International Workshop on Semantic Evaluation, pp 51--56, July. Association for Computational Linguistics. [ai.ku] url google scholar
Joseph Reisinger and Raymond J Mooney. 2010. Multi-prototype vector-space models of word meaning. In Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pp 109--117. Association for Computational Linguistics. [fulbright] 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
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
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
P. Blunsom and T. Cohn. 2010. Unsupervised induction of tree substitution grammars for dependency parsing. In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, pp 1204--1213. Association for Computational Linguistics. [uparse, udep] google scholar
T. Berg-Kirkpatrick, A. Bouchard-Côté, J. DeNero and D. Klein. 2010. Painless unsupervised learning with features. In Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pp 582--590. Association for Computational Linguistics. [uparse, udep] google scholar
T. Berg-Kirkpatrick and D. Klein. 2010. Phylogenetic grammar induction. In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pp 1288--1297. Association for Computational Linguistics. [uparse] google scholar
V.I. Spitkovsky, H. Alshawi, D. Jurafsky and C.D. Manning. 2010. Viterbi training improves unsupervised dependency parsing. In Proceedings of the Fourteenth Conference on Computational Natural Language Learning, pp 9--17. Association for Computational Linguistics. [uparse, udep] google scholar
V.I. Spitkovsky, H. Alshawi and D. Jurafsky. 2010. From baby steps to Leapfrog: how Less is More in unsupervised dependency parsing. In Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pp 751--759. Association for Computational Linguistics. [uparse, udep] google scholar
J. Gillenwater, K. Ganchev, J. Graça, F. Pereira and B. Taskar. 2010. Sparsity in dependency grammar induction. In Proceedings of the ACL 2010 Conference Short Papers, pp 194--199. Association for Computational Linguistics. [uparse] google scholar
M. Lamar, Y. Maron and E. Bienenstock. 2010. Latent-descriptor clustering for unsupervised POS induction. In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, pp 799--809. Association for Computational Linguistics. [upos] pdf google scholar
M. Lamar, Y. Maron, M. Johnson and E. Bienenstock. 2010. SVD and clustering for unsupervised POS tagging. In Proceedings of the ACL 2010 Conference Short Papers, pp 215--219. Association for Computational Linguistics. [upos] pdf google scholar
R. Reichart and A. Rappoport. 2010. Improved fully unsupervised parsing with zoomed learning. In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, pp 684--693. Association for Computational Linguistics. [uparse] google scholar
T. Naseem, H. Chen, R. Barzilay and M. Johnson. 2010. Using universal linguistic knowledge to guide grammar induction. In Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, pp 1234--1244. Association for Computational Linguistics. [uparse] 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
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
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
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
B. Snyder, T. Naseem and R. Barzilay. 2009. Unsupervised multilingual grammar induction. 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 73--81. Association for Computational Linguistics. [uparse] 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
W. Zuidema. 2006. What are the productive units of natural language grammar?: a DOP approach to the automatic identification of constructions. In Proceedings of the Tenth Conference on Computational Natural Language Learning, pp 29--36. Association for Computational Linguistics. [uparse, DOP] google scholar
Brian Roark, Murat Saraclar, Michael Collins and Mark Johnson. 2004. Discriminative language modeling with conditional random fields and the perceptron algorithm. In Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics, pp 47. Association for Computational Linguistics. cit 125. [perceptron] google scholar
Michael Collins and Brian Roark. 2004. Incremental parsing with the perceptron algorithm. In Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics, pp 111. Association for Computational Linguistics. cit 214. [perceptron] google scholar
Mirella Lapata. 2003. Probabilistic text structuring: Experiments with sentence ordering. In Proceedings of the 41st Annual Meeting on Association for Computational Linguistics-Volume 1, pp 545--552. Association for Computational Linguistics. [cwc] url google scholar
Kristina Toutanova, Dan Klein, Christopher D Manning and Yoram Singer. 2003. Feature-rich part-of-speech tagging with a cyclic dependency network. In Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology-Volume 1, pp 173--180. Association for Computational Linguistics. [comp542] pdf google scholar
Michael Collins. 2002. Ranking algorithms for named-entity extraction: Boosting and the voted perceptron. In Proceedings of the 40th Annual Meeting on Association for Computational Linguistics, pp 489--496. Association for Computational Linguistics. cit 231. [perceptron] google scholar
Michael Collins and Nigel Duffy. 2002. New ranking algorithms for parsing and tagging: Kernels over discrete structures, and the voted perceptron. In Proceedings of the 40th annual meeting on association for computational linguistics, pp 263--270. Association for Computational Linguistics. cit 480. [perceptron] google scholar
Bo Pang, Lillian Lee and Shivakumar Vaithyanathan. 2002. Thumbs up?: sentiment classification using machine learning techniques. In Proceedings of the ACL-02 conference on Empirical methods in natural language processing-Volume 10, pp 79--86. Association for Computational Linguistics. [nlpcourse, comp542] pdf annote google scholar
Michael Collins. 2002. Discriminative training methods for hidden markov models: Theory and experiments with perceptron algorithms. In Proceedings of the ACL-02 conference on Empirical methods in natural language processing-Volume 10, pp 1--8. Association for Computational Linguistics. cit 1308. [comp542, perceptron] pdf annote google scholar
S. Dupuy, A. Egges, V. Legendre and P. Nugues. 2001. Generating a 3D simulation of a car accident from a written description in natural language: The Carsim system. In Proceedings of the workshop on Temporal and spatial information processing-Volume 13, pp 1--8. Association for Computational Linguistics. [3D] google scholar
R. Bod. 2000. Parsing with the shortest derivation. In Proceedings of the 18th conference on Computational linguistics-Volume 1, pp 69--75. Association for Computational Linguistics. [DOP] google scholar
C.F. Baker, C.J. Fillmore and J.B. Lowe. 1998. The berkeley framenet project. In Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics-Volume 1, pp 86--90. Association for Computational Linguistics. [3D] pdf google scholar
B.J. Dorr and M.B. Olsen. 1997. Deriving verbal and compositional lexical aspect for NLP applications. In Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics, pp 151--158. Association for Computational Linguistics. [3D] 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
K. Sima'an. 1996. Computational complexity of probabilistic disambiguation by means of tree-grammars. In Proceedings of the 16th conference on Computational linguistics-Volume 2, pp 1175--1180. Association for Computational Linguistics. [DOP] google scholar
Deborah A Dahl, Madeleine Bates, Michael Brown, William Fisher, Kate Hunicke-Smith, David Pallett, Christine Pao, Alexander Rudnicky and Elizabeth Shriberg. 1994. Expanding the scope of the ATIS task: The ATIS-3 corpus. In Proceedings of the workshop on Human Language Technology, pp 43--48. Association for Computational Linguistics. [d=atis] pdf google scholar

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