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

Dominik Schlechtweg, Anna Hätty, Marco Del Tredici, Sabine Schulte im Walde


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.
Anthology ID:
P19-1072
Volume:
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
Month:
July
Year:
2019
Address:
Florence, Italy
Editors:
Anna Korhonen, David Traum, Lluís Màrquez
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
732–746
Language:
URL:
https://aclanthology.org/P19-1072
DOI:
10.18653/v1/P19-1072
Bibkey:
Cite (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.
Cite (Informal):
A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains (Schlechtweg et al., ACL 2019)
Copy Citation:
PDF:
https://aclanthology.org/P19-1072.pdf
Code
 Garrafao/LSCDetection