BOS at LSCDiscovery: Lexical Substitution for Interpretable Lexical Semantic Change Detection

P. 165–172.

Arefyev N., Kudisov A.

We propose a solution for the LSCDiscovery shared task on Lexical Semantic Change Detection in Spanish. Our approach is based on generating lexical substitutes that describe old and new senses of a given word. This approach achieves the second best result in sense loss and sense gain detection subtasks. By observing those substitutes that are specific for only one time period, one can understand which senses were obtained or lost. This allows providing more detailed information about semantic change to the user and makes our method interpretable. © 2022 Association for Computational Linguistics.

In book

Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change

Dublin: Association for Computational Linguistics, 2022.