The influence of discourse on syntax a psycholinguistic model of sentence processing

ACL 2010 - 48th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference

Volumn , Issue , 2010, Pages 1179-1188

  Dubey, Amit ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

COGNITIVE ARCHITECTURES; COREFERENCE RESOLUTION; HUMAN LANGUAGE PROCESSING; LOGIC-BASED MODELS; PROBABILISTIC MODELS; PROCESSING MODEL; PSYCHOLINGUISTIC MODELS;

COMPUTATIONAL LINGUISTICS;

SYNTACTICS;

EID: 84857640461     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (29)

1. Gerry Altmann and Mark Steedman. Interaction with context during human sentence processing. Cognition, 30:191-238, 1988.
2. Amit Bagga and Breck Baldwin. Algorithms for scoring coreference chains. In The First International Conference on Language Resources and Evaluation Workshop on Linguistics Coreference (LREC 98), 1998.
3. Marisa Ferrara Boston, John T. Hale, Reinhold Kliegl, and Shravan Vasisht. Surprising parser actions and reading difficulty. In Proceedings of ACL-08:HLT, Short Papers, pages 5-8, 2008.
4. Thorsten Brants and Matthew Crocker. Probabilistic parsing and psychological plausibility. In Proceedings of 18th International Conference on Computational Linguistics (COLING-2000), pages 111-117, 2000.
5. Stephen Crain and Mark Steedman. On not being led down the garden path: the use of context by the psychological syntax processor. In D. Dowty, L. Karttunen, and A. Zwicky, editors, Natural language parsing: Psychological, computational, and theoretical perspectives. Cambridge University Press, 1985.
6. Matthew Crocker and Thorsten Brants. Wide coverage probabilistic sentence processing. Journal of Psycholinguistic Research, 29(6): 647-669, 2000.
7. Vera Demberg and Frank Keller. A computational model of prediction in human parsing: Unifying locality and surprisal effects. In Proceedings of the 29th meeting of the Cognitive Science Society (CogSci-09), 2009.
8. Amit Dubey, Frank Keller, and Patrick Sturt. A probabilistic corpus-based model of parallelism. Cognition, 109(2):193-210, 2009.
9. Amit Dubey, Patrick Sturt, and Frank Keller. The effect of discourse inferences on syntactic ambiguity resolution. In Proceedings of the 23rd Annual CUNY Conference on Human Sentence Processing (CUNY 2010), page 151, 2010.
10. Ted Gibson. Linguistic complexity: Locality of syntactic dependencies. Cognition, 68:1-76, 1998.
11. Daniel J. Grodner, Edward A. F. Gibson, and Duane Watson. The influence of contextual constrast on syntactic processing: Evidence for strong-interaction in sentence comprehension. Cognition, 95(3):275-296, 2005.
12. John T. Hale. A probabilistic earley parser as a psycholinguistic model. In In Proceedings of the Second Meeting of the North American Chapter of the Asssociation for Computational Linguistics, 2001.
13. John T. Hale. The information conveyed by words in sentences. Journal of Psycholinguistic Research, 32(2):101-123, 2003.
14. Susan E. Haviland and Herbert H. Clark. What's new? acquiring new information as a process in comprehension. Journal of Verbal Learning and Verbal Behavior, 13:512-521, 1974.
15. Shujian Huang, Yabing Zhang, Junsheng Zhou, and Jiajun Chen. Coreference resolution using markov logic. In Proceedings of the 2009 Conference on Intelligent Text Processing and Computational Linguistics (CICLing 09), 2009.
16. D. Jurafsky. A probabilistic model of lexical and syntactic access and disambiguation. Cognitive Science, 20:137-194, 1996.
17. Roger Levy. Expectation-based syntactic comprehension. Cognition, 106(3):1126-1177, March 2008.
18. Roger Levy and T. Florian Jaeger. Speakers optimize information density through syntactic reduction. In Proceedings of the Twentieth Annual Conference on Neural Information Processing Systems, 2007.
19. Ken McRae, Michael J. Spivey-Knowlton, and Michael K. Tanenhaus. Modeling the influence of thematic fit (and other constraints) in on-line sentence comprehension. Journal of Memory and Language, 38:283-312, 1998.
20. Don C. Mitchell, Martin M. B. Corley, and Alan Garnham. Effects of context in human sentence parsing: Evidence against a discourse-baed proposal mechanism. Journal of Experimental Psychology: Learning, Memory and Cognition, 18(1):69-88, 1992.
21. Natalia N. Modjeska, Katja Markert, and Malvina Nissim. Using the web in machine learning for other-anaphora resolution. In Proceedings of the 2003 Conference on Empirical Methods in Natural Language Processing (EMNLP-2003), pages 176-183, Sapporo, Japan, 2003.
22. Shrini Narayanan and Daniel Jurafsky. Bayesian models of human sentence processing. In Proceedings of the 20th Annual Conference of the Cognitive Science Society (CogSci 98), 1998.
23. Ulrike Padó, Matthew Crocker, and Frank Keller. Modelling semantic role plausability in human sentence processing. In Proceedings of the 28th Annual Conference of the Cognitive Science Society (CogSci 2006), pages 657-662, 2006.
24. Hoifung Poon and Pedro Domingos. Joint unsupervised coreference resolution with markov logic. In Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing (EMNLP-08), 2008.
25. Keith Rayner. Eye movements in reading and information processing: 20 years of research. Psychological Bulletin, 124(3):372-422, 1998.
26. Matthew Richardson and Pedro Domingos. Markov logic networks. Machine Learning, 62 (1-2):107-136, 2006.
27. W. M. Soon, H. T. Ng, and D. C. Y. Lim. A machine learning approach to coreference resolution of noun phrases. Computational Linguistics, 27(4):521-544, 2001.
28. M. J. Spivey and M. K. Tanenhaus. Syntactic ambiguity resolution in discourse: Modeling the effects of referential context and lexical frequency. Journal of Experimental Psychology: Learning, Memory and Cognition, 24(6): 1521-1543, 1998.
29. Andreas Stolcke. An efficient probabilistic context-free parsing algorithm that computes prefix probabilities. Computational Linguistics, 21(2):165-201, 1995.