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Effects of Pre- and Post-Processing on type-based Embeddings in Lexical Semantic Change Detection ...
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Lexical Semantic Change Discovery ...
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Abstract:
While there is a large amount of research in the field of Lexical Semantic Change Detection, only few approaches go beyond a standard benchmark evaluation of existing models. In this paper, we propose a shift of focus from change detection to change discovery, i.e., discovering novel word senses over time from the full corpus vocabulary. By heavily fine-tuning a type-based and a token-based approach on recently published German data, we demonstrate that both models can successfully be applied to discover new words undergoing meaning change. Furthermore, we provide an almost fully automated framework for both evaluation and discovery. ... : ACL 2021, 9 pages ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2106.03111 https://arxiv.org/abs/2106.03111
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Explaining and Improving BERT Performance on Lexical Semantic Change Detection ...
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DiscoWUG: Discovered Diachronic Word Usage Graphs for German ...
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DiscoWUG: Discovered Diachronic Word Usage Graphs for German ...
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DiscoWUG: Discovered Diachronic Word Usage Graphs for German ...
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