Towards semi-automatic methods for improving WordNet

Verdezoto, Nervo ORCID: https://orcid.org/0000-0001-5006-4262 and Vieu, Laure 2011. Towards semi-automatic methods for improving WordNet. Presented at: 9th International Conference on Computational Semantics (IWCS 2011), Oxford, England, 12-14 January 2011. IWCS '11: Proceedings of the Ninth International Conference on Computational Semantics. ACM, pp. 275-284. 10.5555/2002669.2002698

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Abstract

WordNet is extensively used as a major lexical resource in NLP. However, its quality is far from perfect, and this alters the results of applications using it. We propose here to complement previous efforts for "cleaning up" the top-level of its taxonomy with semi-automatic methods based on the detection of errors at the lower levels. The methods we propose test the coherence of two sources of knowledge, exploiting ontological principles and semantic constraints.

Item Type:	Conference or Workshop Item (Paper)
Status:	Published
Schools:	Computer Science & Informatics
Publisher:	ACM
Date of First Compliant Deposit:	21 March 2021
Last Modified:	09 Nov 2022 10:35
URI:	https://orca.cardiff.ac.uk/id/eprint/139979

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