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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 FangWe 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.
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Publication status
- Published
ISSN
0302-9743Publisher
Springer-VerlagVolume
3248Pages
9.0Presentation Type
- paper
Event name
Natural Language Processing - IJCNLP 2004: First International Joint ConferenceEvent type
conferenceISBN
3-540-24475-1Department affiliated with
- Informatics Publications
Notes
Book Series: LECTURE NOTES IN COMPUTER SCIENCEFull text available
- No
Peer reviewed?
- Yes
Editors
KY Su, OY Kwong, J Tsujii, JH LeeLegacy Posted Date
2012-02-06Usage metrics
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