A tool for effective extraction of synsets and semantic relations from BabelNet
Ustalov, Dmitry
;
Panchenko, Alexander

DOI:
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https://doi.org/10.1109/SSDSE.2017.8071954
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URL:
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https://www.researchgate.net/publication/320662537...
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Additional URL:
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http://ieeexplore.ieee.org/document/8071954/?reloa...
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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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2017 SSDSE : 2017 Siberian Symposium on Data Science and Engineering (SSDSE) : Novosibirsk, Akademgorodok, Russia, 12-13 Apr 2017
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Page range:
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10-13
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Conference title:
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2017 Siberian Symposium on Data Science and Engineering (SSDSE)
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Location of the conference venue:
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Novosibirsk, Russia
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Date of the conference:
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April 12-13, 2017
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Publisher:
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Goncharov, Sergey
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Place of publication:
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Piscataway, NJ
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Publishing house:
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IEEE
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ISBN:
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978-1-5386-1594-2 , 978-1-5386-1593-5 , 978-1-5386-1592-8
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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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Evaluation experiments in natural language processing often involve construction of samples from large lexical semantic resources, such as WordNet, Wiktionary, and OmegaWiki for evaluation and training purposes. The two most recurrent tasks are extraction of synsets and semantic relations between words. BabelNet is a resource which combines and interlinks all main lexical resources providing a unified assess to them. In this paper, we present BabelNet Extract, an open source tool which helps in addressing these two recurrent extraction tasks effectively in a parallelized manner from the large-scale multilingual BabelNet semantic network. The tool extracts individual word senses and the synsets they form as well as the semantic relations established between the synsets. We show its architecture, describe the output format, and discuss the use cases of the tool.
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 | Dieser Eintrag ist Teil der Universitätsbibliographie. |
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