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    <abstract>This paper describes the winning contribution to SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection (Subtask 2) handed in by team UG Student Intern. We present an ensemble model that makes predictions based on context-free and context-dependent word representations. The key findings are that (1) context-free word representations are a powerful and robust baseline, (2) a sentence classification objective can be used to obtain useful context-dependent word representations, and (3) combining those representations increases performance on some datasets while decreasing performance on others.</abstract>
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%0 Conference Proceedings
%T CIRCE at SemEval-2020 Task 1: Ensembling Context-Free and Context-Dependent Word Representations
%A Pömsl, Martin
%A Lyapin, Roman
%S Proceedings of the Fourteenth Workshop on Semantic Evaluation
%D 2020
%8 dec
%I International Committee for Computational Linguistics
%C Barcelona (online)
%F pomsl-lyapin-2020-circe
%X This paper describes the winning contribution to SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection (Subtask 2) handed in by team UG Student Intern. We present an ensemble model that makes predictions based on context-free and context-dependent word representations. The key findings are that (1) context-free word representations are a powerful and robust baseline, (2) a sentence classification objective can be used to obtain useful context-dependent word representations, and (3) combining those representations increases performance on some datasets while decreasing performance on others.
%R 10.18653/v1/2020.semeval-1.21
%U https://aclanthology.org/2020.semeval-1.21
%U https://doi.org/10.18653/v1/2020.semeval-1.21
%P 180-186

Markdown (Informal)

[CIRCE at SemEval-2020 Task 1: Ensembling Context-Free and Context-Dependent Word Representations](https://aclanthology.org/2020.semeval-1.21) (Pömsl & Lyapin, SemEval 2020)

• CIRCE at SemEval-2020 Task 1: Ensembling Context-Free and Context-Dependent Word Representations (Pömsl & Lyapin, SemEval 2020)

ACL

• Martin Pömsl and Roman Lyapin. 2020. CIRCE at SemEval-2020 Task 1: Ensembling Context-Free and Context-Dependent Word Representations. In Proceedings of the Fourteenth Workshop on Semantic Evaluation, pages 180–186, Barcelona (online). International Committee for Computational Linguistics.