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Can subcategorisation probabilities help a statistical parser?
conference contribution
posted on 2023-06-07, 07:08 authored by John Carroll, Guido Minnen, Ted BriscoeResearch into the automatic acquisition of lexical information from corpora is starting to produce large-scale computational lexicons containing data on the relative frequencies of subcategorisation alternatives for individual verbal predicates. However, the empirical question of whether this type of frequency information can in practice improve the accuracy of a statistical parser has not yet been answered. In this paper we describe an experiment with a wide-coverage statistical grammar and parser for English and subcategorisation frequencies acquired from ten million words of text which shows that this information can significantly improve parse accuracy.
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- Published
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- Published version
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Proceeding of the Sixth Workshop on Very Large CorporaPublisher
Association for Computational Lingustics (ACL)Publisher URL
Page range
118-126Event name
6th Workshop on Very Large Corpora, Montreal, Canada, 1998Event location
Montreal, CanadaEvent type
conferenceEvent date
15th - 16th August 1998Department affiliated with
- Informatics Publications
Full text available
- Yes
Peer reviewed?
- Yes
Editors
Eugene CharniakLegacy Posted Date
2020-06-01First Open Access (FOA) Date
2023-05-04First Compliant Deposit (FCD) Date
2020-06-01Usage metrics
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