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SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection

Accepted version
Peer-reviewed

Type

Conference Object

Change log

Authors

Schlechtweg, Dominik 
McGillivray, Barbara  ORCID logo  https://orcid.org/0000-0003-3426-8200
Hengchen, Simon 
Dubossarsky, Haim 
Tahmasebi, Nina 

Abstract

Lexical Semantic Change detection, i.e., the task of identifying words that change meaning over time, is a very active research area, with applications in NLP, lexicography, and linguistics. Evaluation is currently the most pressing problem in Lexical Semantic Change detection, as no gold standards are available to the community, which hinders progress. We present the results of the first shared task that addresses this gap by providing researchers with an evaluation framework and manually annotated, high-quality datasets for English, German, Latin, and Swedish. 33 teams submitted 186 systems, which were evaluated on two subtasks.

Description

Keywords

cs.CL, cs.CL

Journal Title

Conference Name

COLING- The 28th International Conference on Computational Linguistics

Journal ISSN

Volume Title

Publisher

ACL

Rights

All rights reserved
Sponsorship
Alan Turing Institute (EP/N510129/1)