BOS at LSCDiscovery: Lexical Substitution for Interpretable Lexical Semantic Change Detection
This provides interpretable semantic change analysis for linguists or NLP researchers, but it is incremental as it builds on existing shared task frameworks.
The paper tackled lexical semantic change detection in Spanish by generating lexical substitutes for old and new word senses, achieving second-best results in sense loss and gain detection subtasks.
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.