A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains

June 07, 2019 ยท Declared Dead ยท ๐Ÿ› Annual Meeting of the Association for Computational Linguistics

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Authors Dominik Schlechtweg, Anna Hรคtty, Marco del Tredici, Sabine Schulte im Walde arXiv ID 1906.02979 Category cs.CL: Computation & Language Citations 106 Venue Annual Meeting of the Association for Computational Linguistics Last Checked 4 months ago
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.
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