Discovery Team at SemEval-2020 Task 1: Context-sensitive Embeddings Not Always Better than Static for Semantic Change Detection

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dc.contributor.author Martinc, Matej
dc.contributor.author Montariol, Syrielle
dc.contributor.author Zosa, Elaine
dc.contributor.author Pivovarova, Lidia
dc.date.accessioned 2021-01-19T07:05:01Z
dc.date.available 2021-01-19T07:05:01Z
dc.date.issued 2020-12
dc.identifier.citation Martinc , M , Montariol , S , Zosa , E & Pivovarova , L 2020 , Discovery Team at SemEval-2020 Task 1: Context-sensitive Embeddings Not Always Better than Static for Semantic Change Detection . in Proceedings of the Fourteenth Workshop on Semantic Evaluation . International Committee for Computational Linguistics , Barcelona , pp. 67-73 , International Workshop on Semantic Evaluation , Barcelona , Spain , 12/12/2020 . < https://www.aclweb.org/anthology/2020.semeval-1.6 >
dc.identifier.citation workshop
dc.identifier.other PURE: 159242416
dc.identifier.other PURE UUID: 73ed5017-5fa7-4f9e-a558-91a459562a5d
dc.identifier.other ORCID: /0000-0002-0026-9902/work/87351072
dc.identifier.other ORCID: /0000-0003-2482-0663/work/87353222
dc.identifier.uri http://hdl.handle.net/10138/324849
dc.description.abstract This paper describes the approaches used by the Discovery Team to solve SemEval-2020 Task 1 - Unsupervised Lexical Semantic Change Detection. The proposed method is based on clustering of BERT contextual embeddings, followed by a comparison of cluster distributions across time. The best results were obtained by an ensemble of this method and static Word2Vec embeddings. According to the official results, our approach proved the best for Latin in Subtask 2. en
dc.language.iso eng
dc.publisher International Committee for Computational Linguistics
dc.relation.ispartof Proceedings of the Fourteenth Workshop on Semantic Evaluation
dc.relation.isversionof 978-1-952148-31-6
dc.rights cc_by_nc_sa
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject 113 Computer and information sciences
dc.title Discovery Team at SemEval-2020 Task 1: Context-sensitive Embeddings Not Always Better than Static for Semantic Change Detection en
dc.type Conference contribution
dc.contributor.organization Department of Computer Science
dc.contributor.organization Discovery Research Group/Prof. Hannu Toivonen
dc.description.reviewstatus Peer reviewed
dc.rights.accesslevel openAccess
dc.type.version publishedVersion
dc.identifier.url https://www.aclweb.org/anthology/2020.semeval-1.6

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