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        <title>A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains</title>
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    <name type="personal">
        <namePart type="given">Dominik</namePart>
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    <name type="personal">
        <namePart type="given">Sabine</namePart>
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            <namePart type="family">Korhonen</namePart>
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            <namePart type="given">David</namePart>
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    <abstract>We perform an interdisciplinary large-scale evaluation for detecting lexical semantic divergences in a diachronic and in a synchronic task: semantic sense changes across time, and semantic sense changes across domains. Our work addresses the superficialness and lack of comparison in assessing models of diachronic lexical change, by bringing together and extending benchmark models on a common state-of-the-art evaluation task. In addition, we demonstrate that the same evaluation task and modelling approaches can successfully be utilised for the synchronic detection of domain-specific sense divergences in the field of term extraction.</abstract>
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    <identifier type="doi">10.18653/v1/P19-1072</identifier>
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%0 Conference Proceedings
%T A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains
%A Schlechtweg, Dominik
%A Hätty, Anna
%A Del Tredici, Marco
%A Schulte im Walde, Sabine
%Y Korhonen, Anna
%Y Traum, David
%Y Màrquez, Lluís
%S Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
%D 2019
%8 July
%I Association for Computational Linguistics
%C Florence, Italy
%F schlechtweg-etal-2019-wind
%X We perform an interdisciplinary large-scale evaluation for detecting lexical semantic divergences in a diachronic and in a synchronic task: semantic sense changes across time, and semantic sense changes across domains. Our work addresses the superficialness and lack of comparison in assessing models of diachronic lexical change, by bringing together and extending benchmark models on a common state-of-the-art evaluation task. In addition, we demonstrate that the same evaluation task and modelling approaches can successfully be utilised for the synchronic detection of domain-specific sense divergences in the field of term extraction.
%R 10.18653/v1/P19-1072
%U https://aclanthology.org/P19-1072
%U https://doi.org/10.18653/v1/P19-1072
%P 732-746

Markdown (Informal)

[A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains](https://aclanthology.org/P19-1072) (Schlechtweg et al., ACL 2019)

• A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains (Schlechtweg et al., ACL 2019)

ACL

• Dominik Schlechtweg, Anna Hätty, Marco Del Tredici, and Sabine Schulte im Walde. 2019. A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 732–746, Florence, Italy. Association for Computational Linguistics.