Linked disambiguated distributional semantic networks

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

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URN: urn:nbn:de:bsz:180-madoc-413023
Document Type: Conference or workshop publication
Year of publication: 2016
Book title: The Semantic Web - ISWC 2016 : 15th International Semantic Web Conference, Kobe, Japan, October 17-21, 2016, Proceedings, Part II
The title of a journal, publication series: Lecture Notes in Computer Science
Volume: 9982
Page range: 56-64
Conference title: 15th International Semantic Web Conference (ISWC) 2016
Location of the conference venue: Kobe, Japan
Date of the conference: October 17-21, 2016
Publisher: Groth, Paul
Place of publication: Cham
Publishing house: Springer
ISBN: 978-3-319-46546-3 , 978-3-319-46547-0
Publication language: English
Institution: School of Business Informatics and Mathematics > Wirtschaftsinformatik III (Ponzetto 2016-)
Subject: 004 Computer science, internet
Abstract: We present a new hybrid lexical knowledge base that combines the contextual information of distributional models with the conciseness and precision of manually constructed lexical networks. The computation of our count-based distributional model includes the induction of word senses for single-word and multi-word terms, the disambiguation of word similarity lists, taxonomic relations extracted by patterns and context clues for disambiguation in context. In contrast to dense vector representations, our resource is human readable and interpretable, and thus can be easily embedded within the Semantic Web ecosystem.

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