Learning phrasal categories

William P. Headden*, Eugene Charniak, Mark Johnson

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

Abstract

In this work we learn clusters of contextual annotations for non-terminals in the Penn Treebank. Perhaps the best way to think about this problem is to contrast our work with that of Klein and Manning (2003). That research used tree-transformations to create various grammars with different contextual annotations on the non-terminals. These grammars were then used in conjunction with a CKY parser. The authors explored the space of different annotation combinations by hand. Here we try to automate the process- to learn the "right" combination automatically. Our results are not quite as good as those carefully created by hand, but they are close (84.8 vs 85.7).

Original languageEnglish
Title of host publicationEMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
Place of PublicationStroudsburg, PA
PublisherAssociation for Computational Linguistics (ACL)
Pages301-307
Number of pages7
ISBN (Print)1932432736, 9781932432732
Publication statusPublished - Jul 2006
Externally publishedYes
Event11th Conference on Empirical Methods in Natural Language Proceessing, EMNLP 2006, Held in Conjunction with COLING/ACL - 2006 - Sydney, Australia
Duration: 22 Jul 200623 Jul 2006

Other

Other11th Conference on Empirical Methods in Natural Language Proceessing, EMNLP 2006, Held in Conjunction with COLING/ACL - 2006
CountryAustralia
CitySydney
Period22/07/0623/07/06

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