Using linked disambiguated distributional networks for word sense disambiguation

Panchenko, Alexander ; Faralli, Stefano ; Ponzetto, Simone Paolo ; Biemann, Chris

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Document Type: Conference or workshop publication
Year of publication: 2017
Book title: EACL 2017 Workshop on Sense, Concept and Entity Representations and their Applications : proceedings of the workshop, April 4, 2017 Valencia, Spain
Page range: 72-78
Conference title: 1st Workshop on Sense, Concept and Entity Representations and their Applications, EACL 2017
Location of the conference venue: Valencia, Spain
Date of the conference: April 4, 2017
Publisher: Camacho-Collados, Jose
Place of publication: Stroudsburg, PA
Publishing house: Association for Computational Linguistics
ISBN: 978-1-945626-50-0
Publication language: English
Institution: School of Business Informatics and Mathematics > Information Systems III: Enterprise Data Analysis (Ponzetto 2016-)
Subject: 004 Computer science, internet
Abstract: We introduce a new method for unsupervised knowledge-based word sense disambiguation (WSD) based on a resource that links two types of sense-aware lexical networks: one is induced from a corpus using distributional semantics, the other is manually constructed. The combination of two networks reduces the sparsity of sense representations used for WSD. We evaluate these enriched representations within two lexical sample sense disambiguation benchmarks. Our results indicate that (1) features extracted from the corpus-based resource help to significantly outperform a model based solely on the lexical resource; (2) our method achieves results comparable or better to four state-of-the-art unsupervised knowledge-based WSD systems including three hybrid systems that also rely on text corpora. In contrast to these hybrid methods, our approach does not require access to web search engines, texts mapped to a sense inventory, or machine translation systems.
Additional information: Online-Ressource

Dieser Eintrag ist Teil der Universitätsbibliographie.

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