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The automatic acquisition of verb subcategorisations and their impact on the performance of an HPSG parser

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posted on 2023-06-08, 07:34 authored by John Carroll, Alex C Fang
We describe the automatic acquisition of a lexicon of verb subcategorisations from a domain-specific corpus, and an evaluation of the impact this lexicon has on the performance of a "deep", HPSG parser of English. We conducted two experiments to determine whether the empirically extracted verb stems would enhance the lexical coverage of the grammar and to see whether the automatically extracted verb subcategorisations would result in enhanced parser coverage. In our experiments, the empirically extracted verbs enhance lexical coverage by 8.5%. The automatically extracted verb subcategorisations enhance the parse success rate by 15% in theoretical terms and by 4.5% in practice. This is a promising approach for improving the robustness of deep parsing.

History

Publication status

  • Published

ISSN

0302-9743

Publisher

Springer-Verlag

Volume

3248

Pages

9.0

Presentation Type

  • paper

Event name

Natural Language Processing - IJCNLP 2004: First International Joint Conference

Event type

conference

ISBN

3-540-24475-1

Department affiliated with

  • Informatics Publications

Notes

Book Series: LECTURE NOTES IN COMPUTER SCIENCE

Full text available

  • No

Peer reviewed?

  • Yes

Editors

KY Su, OY Kwong, J Tsujii, JH Lee

Legacy Posted Date

2012-02-06

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    University of Sussex (Publications)

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