An incremental algorithm for transition-based CCG parsing

Bharat Ram Ambati, Tejaswini Deoskar, Mark Johnson, Mark Steedman

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

13 Citations (Scopus)
38 Downloads (Pure)

Abstract

Incremental parsers have potential advantages for applications like language modeling for machine translation and speech recognition. We describe a new algorithm for incremental transition-based Combinatory Categorial Grammar parsing. As English CCGbank derivations are mostly right branching and non-incremental, we design our algorithm based on the dependencies resolved rather than the derivation. We introduce two new actions in the shift-reduce paradigm based on the idea of 'revealing' (Pareschi and Steedman, 1987) the required information during parsing. On the standard CCGbank test data, our algorithm achieved improvements of 0.88% in labeled and 2.0% in unlabeled F-score over a greedy non-incremental shift-reduce parser.

Original languageEnglish
Title of host publication2015 Conference of the North American Chapter of the Association for Computational Linguistics, NAACL HLT 2015
Subtitle of host publicationHuman Language Technologies, Proceedings of the Conference
Place of PublicationRed Hook, NY
PublisherAssociation for Computational Linguistics (ACL)
Pages53-63
Number of pages11
ISBN (Electronic)9781941643495
DOIs
Publication statusPublished - 2015
EventConference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2015 - Denver, United States
Duration: 31 May 20155 Jun 2015

Other

OtherConference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2015
Country/TerritoryUnited States
CityDenver
Period31/05/155/06/15

Bibliographical note

Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

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