acl acl2013 acl2013-119 acl2013-119-reference knowledge-graph by maker-knowledge-mining
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Author: Lin Sun ; Diana McCarthy ; Anna Korhonen
Abstract: Although diathesis alternations have been used as features for manual verb classification, and there is recent work on incorporating such features in computational models of human language acquisition, work on large scale verb classification has yet to examine the potential for using diathesis alternations as input features to the clustering process. This paper proposes a method for approximating diathesis alternation behaviour in corpus data and shows, using a state-of-the-art verb clustering system, that features based on alternation approximation outperform those based on independent subcategorization frames. Our alternation-based approach is particularly adept at leveraging information from less frequent data.
C. Brew and S. Schulte im Walde. Spectral clustering for German verbs. In Proceedings of EMNLP, 2002. E. Briscoe, J. Carroll, and R. Watson. The second release of the RASP system. In Proceedings ofthe COLING/ACL on Interactivepresentation sessions, pages 77–80, 2006. D. Gildea and D. Jurafsky. Automatic labeling of semantic roles. Computational Linguistics, 28(3):245–288, 2002. Y. Guo, A. Korhonen, and T. Poibeau. A weakly-supervised approach to argumentative zoning of scientific documents. In Proceedings of EMNLP, pages 273–283, Stroudsburg, PA, USA, 2011. ACL. T. Jebara and R. Kondor. Bhattacharyya and expected likelihood kernels. In Learning Theory and Kernel Machines: 16th Annual Conference on Learning Theory and 7th Kernel Workshop, page 57. Springer, 2003. T. Jebara, R. Kondor, and A. Howard. Probability product kernels. The Journal of Machine Learning Research, 5:8 19–844, 2004. E. Joanis, S. Stevenson, and D. James. A general feature space for automatic verb classification. Natural Language Engineering, 2008. K. Kipper-Schuler. VerbNet: A broad-coverage, comprehensive verb lexicon. PhD thesis, Com- puter and Information Science Dept., University of Pennsylvania, Philadelphia, PA, June 2005. A. Korhonen, Y. Krymolowski, and Z. Marx. Clustering polysemic subcategorization frame distributions semantically. In Proceedings of ACL, pages 64–71, Morristown, NJ, USA, 2003. ACL. M. Lapata. Acquiring lexical generalizations from corpora: A case study for diathesis alternations. In Proceedings of ACL, pages 397–404. ACL Morristown, NJ, USA, 1999. B. Levin and M. Hovav. Argument realization. Computational Linguistics, 32(3):447– 450, 2006. B. Levin. English Verb Classes and Alternations: a preliminary investigation. University of Chicago Press, Chicago and London, 1993. D. McCarthy and A. Korhonen. Detecting verbal participation in diathesis alternations. In Proceedings of ACL, volume 36, pages 1493–1495. ACL, 1998. D. McCarthy. Using semantic preferences to identify verbal participation in role switching alter- nations. In Proceedings of NAACL, pages 256– 263. Morgan Kaufmann Publishers Inc. San Francisco, CA, USA, 2000. P. Merlo and S. Stevenson. Automatic verb classification based on statistical distributions of argument structure. Computational Linguistics, 27(3):373–408, 2001. C. Parisien and S. Stevenson. Learning verb alternations in a usage-based Bayesian model. In Proceedings of the 32nd annual meeting of the Cognitive Science Society, 2010. C. Parisien and S. Stevenson. Generalizing between form and meaning using learned verb classes. In Proceedings of the 33rd Annual Meeting of the Cognitive Science Society, 2011. 740 J. Preiss, T. Briscoe, and A. Korhonen. A system for large-scale acquisition of verbal, nominal and adjectival subcategorization frames from corpora. In Proceedings of ACL, volume 45, page 912, 2007. P. Resnik. Selection and Information: A ClassBased Approach to Lexical Relationships. PhD thesis, University of Pennsylvania, 1993. S. Schulte im Walde. Experiments on the automatic induction of German semantic verb classes. Computational Linguistics, 32(2): 159– 194, 2006. E. Shutova, L. Sun, and A. Korhonen. Metaphor identification using verb and noun clustering. In Proceedings of COLING, pages 1002–1010. ACL, 2010. L. Sun and A. Korhonen. Improving verb clustering with automatically acquired selectional preferences. In Proceedings of EMNLP, pages 638–647, 2009. L. Sun and A. Korhonen. Hierarchical verb clustering using graph factorization. In Proceedings of EMNLP, pages 1023–1033, Edinburgh, Scotland, UK., July 2011. ACL. L. Sun, A. Korhonen, and Y. Krymolowski. Verb class discovery from rich syntactic data. Lecture Notes in Computer Science, 4919: 16, 2008. V. Tsang and S. Stevenson. Using selectional profile distance to detect verb alternations. In HLT/NAACL 2004 Workshop on Computational Lexical Semantics, 2004. A. Vlachos, A. Korhonen, and Z. Ghahramani. Unsupervised and constrained dirichlet process mixture models for verb clustering. In Proceedings of the Workshop on Geometrical Models of Natural Language Semantics, pages 74–82, 2009. Z. Zhao and H. Liu. Spectral feature selection for supervised and unsupervised learning. In Proceedings of ICML, pages 1151–1 157, New York, NY, USA, 2007. ACM. 741