BOS at LSCDiscovery: Lexical Substitution for Interpretable Lexical Semantic Change Detection
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Abstract (arXiv)
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.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 7 of its 14 references that are in the map. First posted on arXiv 7 Jun 2022.
Builds on
7 of 14 references.
References · 7
- 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,935
- 2020Analysing Lexical Semantic Change with Contextualised Word Representationscited by 92
- 2021Explaining and Improving BERT Performance on Lexical Semantic Change Detectioncited by 34
- 2018Word Sense Induction with Neural biLM and Symmetric Patternscited by 18
- 2019Towards better substitution-based word sense inductioncited by 18
- 2022LSCDiscovery: A shared task on semantic change discovery and detection in Spanishcited by 11
- 2020Combining Neural Language Models for WordSense Inductioncited by 1
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Citing papers per year: 2023: 2.
2 papers.