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Using qualia information to identify lexical semantic classes in an unsupervised clustering task

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dc.contributor.author Romeo, Lauren
dc.contributor.author Mendes, Sara
dc.contributor.author Bel Rafecas, Núria
dc.date.accessioned 2013-02-15T09:36:04Z
dc.date.available 2013-02-15T09:36:04Z
dc.date.issued 2012
dc.identifier.citation Romeo L, Mendes S, Bel N. Using qualia information to identify lexical semantic classes in an unsupervised clustering task. In: Kay M, Boitet C, editors. Proceedings of COLING 2012: Posters: 24th International Conference on Computational Linguistics COLING 2012; 2012 December 8-15; Mumbai, India. Mumbai: The COLING 2012 Organizing Committee; 2012. p. 1029-1038.
dc.identifier.uri http://hdl.handle.net/10230/20383
dc.description.abstract Acquiring lexical information is a complex problem, typically approached by relying on a number of contexts to contribute information for classification. One of the first issues to address in this domain is the determination of such contexts. The work presented here proposes the use of automatically obtained FORMAL role descriptors as features used to draw nouns from the same lexical semantic class together in an unsupervised clustering task. We have dealt with three lexical semantic classes (HUMAN, LOCATION and EVENT) in English. The results obtained show that it is possible to discriminate between elements from different lexical semantic classes using only FORMAL role information, hence validating our initial hypothesis. Also, iterating our method accurately accounts for fine-grained distinctions within lexical classes, namely distinctions involving ambiguous expressions. Moreover, a filtering and bootstrapping strategy employed in extracting FORMAL role descriptors proved to minimize effects of sparse data and noise in our task.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher ACL (Association for Computational Linguistics)
dc.relation.ispartof Kay M, Boitet C, editors. Proceedings of COLING 2012: Posters: 24th International Conference on Computational Linguistics COLING 2012; 2012 December 8-15; Mumbai, India. Mumbai: The COLING 2012 Organizing Committee; 2012. p. 1029-1038.
dc.rights © ACL, Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License
dc.title Using qualia information to identify lexical semantic classes in an unsupervised clustering task
dc.type info:eu-repo/semantics/conferenceObject
dc.subject.keyword Lexical semantic classes
dc.subject.keyword Qualia roles
dc.subject.keyword Unsupervised clustering
dc.subject.keyword Automatic extraction of lexical information
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/248064
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion

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