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.
Author: | Mark-Christoph MüllerORCiDGND |
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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): | ![]() |