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Using linked disambiguated distributional networks for word sense disambiguation
Panchenko, Alexander
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Faralli, Stefano
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Ponzetto, Simone Paolo
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Biemann, Chris
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URL:
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http://www.aclweb.org/anthology/W17-1909
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Additional URL:
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http://aclweb.org/anthology/W/W17/W17-19.pdf
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Document Type:
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Conference or workshop publication
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Year of publication:
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2017
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Book title:
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EACL 2017 Workshop on Sense, Concept and Entity Representations and their Applications : proceedings of the workshop, April 4, 2017 Valencia, Spain
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Page range:
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72-78
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Conference title:
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1st Workshop on Sense, Concept and Entity Representations and their Applications, EACL 2017
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Location of the conference venue:
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Valencia, Spain
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Date of the conference:
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April 4, 2017
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Publisher:
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Camacho-Collados, Jose
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Place of publication:
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Stroudsburg, PA
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Publishing house:
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Association for Computational Linguistics
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ISBN:
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978-1-945626-50-0
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Publication language:
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English
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Institution:
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School of Business Informatics and Mathematics > Wirtschaftsinformatik III (Ponzetto 2016-)
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Subject:
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004 Computer science, internet
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Abstract:
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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.
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Additional information:
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Online-Ressource
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 | Dieser Eintrag ist Teil der Universitätsbibliographie. |
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