Connectionist-Inspired Incremental PCFG Parsing

Marten van Schijndel, Andy Exley, William Schuler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Probabilistic context-free grammars (PCFGs) are a popular cognitive model of syntax (Jurafsky, 1996). These can be formulated to be sensitive to human working memory constraints by application of a right-corner transform (Schuler, 2009). One side-effect of the transform is that it guarantees at most a single expansion (push) and at most a single reduction (pop) during a syntactic parse. The primary finding of this paper is that this property of right-corner parsing can be exploited to obtain a dramatic reduction in the number of random variables in a probabilistic sequence model parser. This yields a simpler structure that more closely resembles existing simple recurrent network models of sentence comprehension.

Original languageEnglish (US)
Title of host publicationProceedings of the 2012 Workshop on Cognitive Modeling and Computational Linguistics, CMCL 2012 at the 2012 Conference of the North American Chapter of the Association for Computational Linguistics
Subtitle of host publicationHuman Language Technologies, NAACL-HLT 2012
EditorsDavid Reitter, David Reitter, Roger Levy
PublisherAssociation for Computational Linguistics (ACL)
Pages51-60
Number of pages10
ISBN (Electronic)1937284204, 9781937284206
StatePublished - 2012
Event3rd Workshop on Cognitive Modeling and Computational Linguistics, CMCL 2012 at the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2012 - Montreal, Canada
Duration: Jun 7 2012 → …

Publication series

NameProceedings of the Annual Meeting of the Association for Computational Linguistics
Volume2012-June
ISSN (Print)0736-587X

Conference

Conference3rd Workshop on Cognitive Modeling and Computational Linguistics, CMCL 2012 at the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2012
Country/TerritoryCanada
CityMontreal
Period6/7/12 → …

Bibliographical note

Publisher Copyright:
© 2012 Association for Computational Linguistics

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