A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains
June 07, 2019 ยท Declared Dead ยท ๐ 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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