Latent variable models of selectional preference

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

Volumn , Issue , 2010, Pages 435-444

  Séaghdha, Diarmuid Ó ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SETS; LATENT DIRICHLET ALLOCATION; LATENT VARIABLE MODELS; SELECTIONAL PREFERENCES; THREE MODELS; TOPIC MODEL;

STATISTICS;

COMPUTATIONAL LINGUISTICS;

EID: 84859952910     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (33)

1. Shane Bergsma, Dekang Lin, and Randy Goebel. 2008. Discriminative learning of selectional preferences from unlabeled text. In Proceedings of EMNLP-08, Honolulu, HI.
2. David M. Blei, Andrew Y. Ng, and Michael I. Jordan. 2003. Latent Dirichlet allocation. Journal of Machine Learning Research, 3:993-1022.
3. Jordan Boyd-Graber, David Blei, and Xiaojin Zhu. 2007. A topic model for word sense disambiguation. In Proceedings of EMNLP-CoNLL-07, Prague, Czech Republic.
4. Ted Briscoe, John Carroll, and Rebecca Watson. 2006. The second release of the RASP system. In Proceedings of the ACL-06 Interactive Presentation Sessions, Sydney, Australia.
5. Samuel Brody and Mirella Lapata. 2009. Bayesian word sense induction. In Proceedings of EACL-09, Athens, Greece.
6. Lou Burnard, 1995. Users' Guide for the British National Corpus. British National Corpus Consortium, Oxford University Computing Service, Oxford, UK.
7. Jonathan Chang, Jordan Boyd-Graber, Sean Gerrish, Chong Wang, and David M. Blei. 2009. Reading tea leaves: How humans interpret topic models. In Proceedings of NIPS-09, Vancouver, BC.
8. Stephen Clark and David Weir. 2002. Class-based probability estimation using a semantic hierarchy. Computational Linguistics, 28(2):187-206.
9. Katrin Erk. 2007. A simple, similarity-based model for selectional preferences. In Proceedings of ACL-07, Prague, Czech Republic.
10. Jenny Rose Finkel, Trond Grenager, and Christopher D. Manning. 2007. The infinite tree. In Proceedings of ACL-07, Prague, Czech Republic.
11. Daniel Gildea and Daniel Jurafsky. 2002. Automatic labeling of semantic roles. Computational Linguistics, 28(3):245-288.
12. Sharon Goldwater, Thomas L. Griffiths, and Mark Johnson. 2009. A Bayesian framework for word segmentation: Exploring the effects of context. Cognition, 112(1):21-54.
13. Thomas L. Griffiths and Mark Steyvers. 2004. Finding scientific topics. Proceedings of the National Academy of Sciences, 101(suppl. 1):5228-5235.
14. Thomas L. Griffiths, Mark Steyvers, and Joshua B. Tenenbaum. 2007. Topics in semantic representation. Psychological Review, 114(2):211-244.
15. Virginia M. Holmes, Laurie Stowe, and Linda Cupples. 1989. Lexical expectations in parsing complementverb sentences. Journal of Memory and Language, 28(6):668-689.
16. Frank Keller and Mirella Lapata. 2003. Using the Web to obtain frequencies for unseen bigrams. Computational Linguistics, 29(3):459-484.
17. Wei-Hao Lin, Theresa Wilson, Janyce Wiebe, and Alexander Hauptmann. 2006. Which side are you on? Identifying perspectives at the document and sentence levels. In Proceedings of CoNLL-06, New York, NY.
18. Xiao-Li Meng, Robert Rosenthal, and Donald B. Rubin. 1992. Comparing correlated correlation coefficients. Psychological Bulletin, 111(1):172-175.
19. Sebastian Padó, Ulrike Padó, and Katrin Erk. 2007. Flexible, corpus-based modelling of human plausibility judgements. In Proceedings of EMNLPCoNLL-07, Prague, Czech Republic.
20. Patrick Pantel, Rahul Bhagat, Bonaventura Coppola, Timothy Chklovski, and Eduard Hovy. 2007. ISP: Learning inferential selectional preferences. In Proceedings of NAACL-HLT-07, Rochester, NY.
21. Keith Rayner, Tessa Warren, Barbara J. Juhasz, and Simon P. Liversedge. 2004. The effect of plausibility on eye movements in reading. Journal of Experimental Psychology: Learning Memory and Cognition, 30(6):1290-1301.
22. Joseph Reisinger and Marius Paşca. 2009. Latent variable models of concept-attribute attachment. In Proceedings of ACL-IJCNLP-09, Singapore.
23. Philip S. Resnik. 1993. Selection and Information: A Class-Based Approach to Lexical Relationships. Ph.D. thesis, University of Pennsylvania.
24. Alan Ritter, Mausam, and Oren Etzioni. 2010. A Latent Dirichlet Allocation method for selectional preferences. In Proceedings of ACL-10, Uppsala, Sweden.
25. Mats Rooth, Stefan Riezler, Detlef Prescher, Glenn Carroll, and Franz Beil. 1999. Inducing a semantically annotated lexicon via EM-based clustering. In Proceedings of ACL-99, College Park, MD.
26. Sabine Schulte im Walde, Christian Hying, Christian Scheible, and Helmut Schmid. 2008. Combining EM training and the MDL principle for an automatic verb classification incorporating selectional preferences. In Proceedings of ACL-08:HLT, Columbus, OH.
27. Yee W. Teh, Michael I. Jordan, Matthew J. Beal, and David M. Blei. 2006. Hierarchical Dirichlet processes. Journal of the American Statistical Association, 101(476):1566-1581.
28. HannaWallach, David Mimno, and Andrew McCallum. 2009. Rethinking LDA: Why priors matter. In Proceedings of NIPS-09, Vancouver, BC.
29. Hanna Wallach. 2006. Topic modeling: Beyond bagof-words. In Proceedings of ICML-06, Pittsburgh, PA.
30. Yorick Wilks. 1978. Making preferences more active. Artificial Intelligence, 11:197-225.
31. Limin Yao, David Mimno, and Andrew McCallum. 2009. Efficient methods for topic model inference on streaming document collections. In Proceedings of KDD-09, Paris, France.
32. Beñat Zapirain, Eneko Agirre, and Lluís Màrquez. 2009. Generalizing over lexical features: Selectional preferences for semantic role classification. In Proceedings of ACL-IJCNLP-09, Singapore.
33. Huibin Zhang, Mingjie Zhu, Shuming Shi, and Ji-Rong Wen. 2009. Employing topic models for patternbased semantic class discovery. In Proceedings of ACL-IJCNLP-09, Singapore.