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.
@article{arxiv.2007.02670,
title = {A Broad-Coverage Deep Semantic Lexicon for Verbs},
author = {James Allen and Hannah An and Ritwik Bose and Will de Beaumont and Choh Man Teng},
journal= {arXiv preprint arXiv:2007.02670},
year = {2020}
}
Comments
Draft of LREC-2020 paper. Proceedings of The 12th Language Resources and Evaluation Conference. 2020