Zobrazeno 1 - 10
of 201
pro vyhledávání: '"Hypernym extraction"'
The hyponym-hypernym relation is an essential element in the semantic network. Identifying the hypernym from a definition is an important task in natural language processing and semantic analysis. While a public dictionary such as WordNet works for c
Externí odkaz:
http://arxiv.org/abs/2012.03418
Autor:
Grefenstette, Gregory
Given a set of terms from a given domain, how can we structure them into a taxonomy without manual intervention? This is the task 17 of SemEval 2015. Here we present our simple taxonomy structuring techniques which, despite their simplicity, ranked f
Externí odkaz:
http://arxiv.org/abs/1502.01271
Autor:
YILDIRIM, Savaş1 savas.yildirim@bilgi.edu.tr
Publikováno v:
Turkish Journal of Electrical Engineering & Computer Sciences. 2019, Vol. 27 Issue 6, p4418-4428. 11p.
Conference
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Autor:
Savas Yildirim
Publikováno v:
Volume: 27, Issue: 6 4418-4428
Turkish Journal of Electrical Engineering and Computer Science
Turkish Journal of Electrical Engineering and Computer Science
Corpus-driven approaches can automatically explore is-a relations between the word pairs from corpus. This problem is also called hypernym extraction. Formerly, lexico-syntactic patterns have been used to solve hypernym relations. The language-specif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a091be2b74d32f798b9c489ae5d22070
https://doi.org/10.3906/elk-1903-65
https://doi.org/10.3906/elk-1903-65
Kniha
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Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030624187
ISWC (1)
ISWC (1)
The hyponym-hypernym relation is an essential element in the semantic network. Identifying the hypernym from a definition is an important task in natural language processing and semantic analysis. While a public dictionary such as WordNet works for c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15cbb691412dd7d83f6e1d4f08e896f0
https://doi.org/10.1007/978-3-030-62419-4_30
https://doi.org/10.1007/978-3-030-62419-4_30
Autor:
M. V. Trofimova, M. U. Arkhipov
Publikováno v:
Computational Linguistics and Intellectual Technologies.
The report describes the system developed by the HyBert team for the taxonomy enrichment task at Dialog Evaluation 2020 [12]. In this work we investigate the ability of large pre-trained language models to discover hyponym-hypernym relations. We prob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::366c798ba02fde79fcd693a09781caad
https://doi.org/10.28995/2075-7182-2020-19-1170-1179
https://doi.org/10.28995/2075-7182-2020-19-1170-1179
Autor:
Simone Paolo Ponzetto, Stefano Faralli
Publikováno v:
Semantic Web Challenges ISBN: 9783319465647
SemWebEval@ESWC
SemWebEval@ESWC
In this paper we present a system for the 2016 edition of the Open Knowledge Extraction (OKE) Challenge. The OKE challenge promotes research in automatic extraction of structured content from textual data and its representation and publication as Lin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8796d1862cd49eaf25e4ce7c3e0a4b90
http://hdl.handle.net/11573/1620663
http://hdl.handle.net/11573/1620663
Publikováno v:
LREC 2014-NINTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION
In this research, we evaluate different approaches for the automatic extraction of hypernym relations from English and Dutch technical text. The detected hypernym relations should enable us to semantically structure automatically obtained term lists
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______330::b892e528eceb880d2e2829f8f5e15359
https://hdl.handle.net/1854/LU-4416235
https://hdl.handle.net/1854/LU-4416235