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        <title>Effects of Pre- and Post-Processing on type-based Embeddings in Lexical Semantic Change Detection</title>
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        <namePart type="given">Dominik</namePart>
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    <abstract>Lexical semantic change detection is a new and innovative research field. The optimal fine-tuning of models including pre- and post-processing is largely unclear. We optimize existing models by (i) pre-training on large corpora and refining on diachronic target corpora tackling the notorious small data problem, and (ii) applying post-processing transformations that have been shown to improve performance on synchronic tasks. Our results provide a guide for the application and optimization of lexical semantic change detection models across various learning scenarios.</abstract>
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%0 Conference Proceedings
%T Effects of Pre- and Post-Processing on type-based Embeddings in Lexical Semantic Change Detection
%A Kaiser, Jens
%A Kurtyigit, Sinan
%A Kotchourko, Serge
%A Schlechtweg, Dominik
%Y Merlo, Paola
%Y Tiedemann, Jorg
%Y Tsarfaty, Reut
%S Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
%D 2021
%8 April
%I Association for Computational Linguistics
%C Online
%F kaiser-etal-2021-effects
%X Lexical semantic change detection is a new and innovative research field. The optimal fine-tuning of models including pre- and post-processing is largely unclear. We optimize existing models by (i) pre-training on large corpora and refining on diachronic target corpora tackling the notorious small data problem, and (ii) applying post-processing transformations that have been shown to improve performance on synchronic tasks. Our results provide a guide for the application and optimization of lexical semantic change detection models across various learning scenarios.
%R 10.18653/v1/2021.eacl-main.10
%U https://aclanthology.org/2021.eacl-main.10
%U https://doi.org/10.18653/v1/2021.eacl-main.10
%P 125-137

Markdown (Informal)

[Effects of Pre- and Post-Processing on type-based Embeddings in Lexical Semantic Change Detection](https://aclanthology.org/2021.eacl-main.10) (Kaiser et al., EACL 2021)

• Effects of Pre- and Post-Processing on type-based Embeddings in Lexical Semantic Change Detection (Kaiser et al., EACL 2021)

ACL

• Jens Kaiser, Sinan Kurtyigit, Serge Kotchourko, and Dominik Schlechtweg. 2021. Effects of Pre- and Post-Processing on type-based Embeddings in Lexical Semantic Change Detection. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 125–137, Online. Association for Computational Linguistics.