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Large-scale taxonomy induction using entity and word embeddings
Ristoski, Petar
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Faralli, Stefano
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Ponzetto, Simone Paolo
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Paulheim, Heiko
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DOI:
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https://doi.org/10.1145/3106426.3106465
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URL:
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http://dl.acm.org/citation.cfm?id=3106465
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Additional URL:
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http://dl.acm.org/citation.cfm?id=3106465&CFID=973...
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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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WI 2017 : proceedings of the International Conference on Web Intelligence, Leipzig, Germany, August 23-26, 2017
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Page range:
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81-87
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Conference title:
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International Conference on Web Intelligence 2017
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Location of the conference venue:
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Leipzig, Germany
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Date of the conference:
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August 23-26, 2017
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Publisher:
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Sheth, Amit
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Place of publication:
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New York, NY
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Publishing house:
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ACM
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ISBN:
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978-1-4503-4951-2
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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-)
School of Business Informatics and Mathematics > Web Data Mining (Juniorprofessur) (Paulheim 2013-2017)
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Subject:
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004 Computer science, internet
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Individual keywords (German):
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entity embeddings , ontology induction , text embeddings
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Abstract:
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Taxonomies are an important ingredient of knowledge organization, and serve as a backbone for more sophisticated knowledge representations in intelligent systems, such as formal ontologies. However, building taxonomies manually is a costly endeavor, and hence, automatic methods for taxonomy induction are a good alternative to build large-scale taxonomies. In this paper, we propose TIEmb, an approach for automatic unsupervised class subsumption axiom extraction from knowledge bases using entity and text embeddings. We apply the approach on the WebIsA database, a database of subsumption relations extracted from the large portion of the World Wide Web, to extract class hierarchies in the Person and Place domain.
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 | Dieser Eintrag ist Teil der Universitätsbibliographie. |
 Search Authors in
BASE:
Ristoski, Petar
;
Faralli, Stefano
;
Ponzetto, Simone Paolo
;
Paulheim, Heiko
Google Scholar:
Ristoski, Petar
;
Faralli, Stefano
;
Ponzetto, Simone Paolo
;
Paulheim, Heiko
ORCID:
Ristoski, Petar ; Faralli, Stefano ; Ponzetto, Simone Paolo  ORCID: 0000-0001-7484-2049 ; Paulheim, Heiko ORCID: 0000-0003-4386-8195
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