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A Broad-Coverage Deep Semantic Lexicon for Verbs

James Allen, Hannah An, Ritwik Bose, Will de Beaumont, Choh Man Teng


Abstract
Progress on deep language understanding is inhibited by the lack of a broad coverage lexicon that connects linguistic behavior to ontological concepts and axioms. We have developed COLLIE-V, a deep lexical resource for verbs, with the coverage of WordNet and syntactic and semantic details that meet or exceed existing resources. Bootstrapping from a hand-built lexicon and ontology, new ontological concepts and lexical entries, together with semantic role preferences and entailment axioms, are automatically derived by combining multiple constraints from parsing dictionary definitions and examples. We evaluated the accuracy of the technique along a number of different dimensions and were able to obtain high accuracy in deriving new concepts and lexical entries. COLLIE-V is publicly available.
Anthology ID:
2020.lrec-1.396
Volume:
Proceedings of the Twelfth Language Resources and Evaluation Conference
Month:
May
Year:
2020
Address:
Marseille, France
Editors:
Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association
Note:
Pages:
3243–3251
Language:
English
URL:
https://aclanthology.org/2020.lrec-1.396
DOI:
Bibkey:
Cite (ACL):
James Allen, Hannah An, Ritwik Bose, Will de Beaumont, and Choh Man Teng. 2020. A Broad-Coverage Deep Semantic Lexicon for Verbs. In Proceedings of the Twelfth Language Resources and Evaluation Conference, pages 3243–3251, Marseille, France. European Language Resources Association.
Cite (Informal):
A Broad-Coverage Deep Semantic Lexicon for Verbs (Allen et al., LREC 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.lrec-1.396.pdf
Data
FrameNet