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SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection

Schlechtweg, Dominik; McGillivray, Barbara; Hengchen, Simon; Dubossarsky, Haim; Tahmasebi, Nina

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  author       = {Schlechtweg, Dominik and
                  McGillivray, Barbara and
                  Hengchen, Simon and
                  Dubossarsky, Haim and
                  Tahmasebi, Nina},
  title        = {{SemEval-2020 Task 1: Unsupervised Lexical Semantic 
                   Change Detection}},
  month        = may,
  year         = 2020,
  note         = {{The authors would like to thank Diana McCarthy for 
                   her valuable input to the genesis of this task. DS
                   was supported by the Konrad Adenauer Foundation
                   and the CRETA center funded by the German Ministry
                   for Education and Research (BMBF) during the
                   conduct of this study. This task has been funded
                   in part by the project 'Towards Computational
                   Lexical Semantic Change Detection' supported  by
                   the Swedish Research Council (2019–2022; dnr
                   2018-01184), and Nationella språkbanken (the
                   Swedish National Language Bank) -- jointly funded
                   by  (2018--2024; dnr 2017-00626) and its 10
                   partner institutions, to NT. The Swedish list of
                   potential change words were provided by the
                   research group at the Department of Swedish,
                   University of Gothenburg that work with the
                   Contemporary Dictionary of the Swedish Academy.
                   This work was supported by The Alan Turing
                   Institute under the EPSRC grant EP/N510129/1, to
                   BMcG. Additional thanks go to the annotators of
                   our datasets, and an anonymous donor.}},
  publisher    = {Zenodo},
  version      = {v1},
  doi          = {10.5281/zenodo.3931969},
  url          = {}
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