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On the contribution of word-level semantics to practical author name disambiguation

  • We demonstrate the utility of word embedding-based semantic similarity methods for Author Name Disambiguation.

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Metadaten
Author:Mark-Christoph MüllerORCiDGND
URN:urn:nbn:de:bsz:mh39-111370
DOI:https://doi.org/10.1145/3197026.3203912
ISBN:978-1-4503-5178-2
Parent Title (English):JCDL '18: Proceedings of the 18th ACM/IEEE Joint Conference on Digital Libraries. Fort Worth, Texas, USA, June 3-7, 2018
Publisher:Association for Computing Machinery
Place of publication:New York
Document Type:Conference Proceeding
Language:English
Year of first Publication:2018
Date of Publication (online):2022/07/19
Publishing Institution:Leibniz-Institut für Deutsche Sprache (IDS) [Zweitveröffentlichung]
Publicationstate:Zweitveröffentlichung
Publicationstate:Postprint
Reviewstate:Peer-Review
Tag:author name disambiguation; digital library; machine learning; semantic similarity; word embeddings
GND Keyword:Autor; Computerlinguistik; Elektronische Bibliothek; Maschinelles Lernen; Semantik
First Page:367
Last Page:368
DDC classes:400 Sprache / 400 Sprache, Linguistik
Open Access?:ja
Linguistics-Classification:Computerlinguistik
Licence (German):License LogoUrheberrechtlich geschützt