Abstract:
This paper presents an ontology induction approach that extracts the structured lexical knowledge from synonym dictionaries and establishing the semantic relations within these structures using word embeddings and their projections. The results of the preliminary experiments have also been reported showing certain strengths and weaknesses of the proposed approach.
The reported study was funded by RFBR according to the research project no. 16-37-00354 мол_а. This work is supported by the Russian Foundation for the Humanities projects no. 13-04-12020 "New Open Electronic Thesaurus for Russian" and no. 16-04-12019 "RussNet and YARN thesauri integration".
Bibliographic databases:
Document Type:
Article
Language: English
Citation:
D. A. Ustalov, “Joining dictionaries and word embeddings for ontology induction”, Proceedings of ISP RAS, 28:6 (2016), 197–206
\Bibitem{Ust16}
\by D.~A.~Ustalov
\paper Joining dictionaries and word embeddings for ontology induction
\jour Proceedings of ISP RAS
\yr 2016
\vol 28
\issue 6
\pages 197--206
\mathnet{http://mi.mathnet.ru/tisp94}
\crossref{https://doi.org/10.15514/ISPRAS-2016-28(6)-14}
\elib{https://elibrary.ru/item.asp?id=27679180}
Linking options:
https://www.mathnet.ru/eng/tisp94
https://www.mathnet.ru/eng/tisp/v28/i6/p197
This publication is cited in the following 1 articles:
Polina Lobanova, Pavel Bakhtin, Yaroslav Sergienko, “Identifying and Visualizing Trends in Science, Technology, and Innovation Using SciBERT”, IEEE Trans. Eng. Manage., 71 (2024), 11898
Citation in format AMSBIB
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