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workshop paper

ACL 2024

August 15, 2024

Bangkok, Thailand

Deep-change at AXOLOTL-24: Orchestrating WSD and WSI Models for Semantic Change Modeling

keywords:

novel sense detection

lexical semantic change detection

word sense induction

word sense disambiguation

This paper describes our solution of the first subtask from the AXOLOTL-24 shared task on Semantic Change Modeling. The goal of this subtask is to distribute a given set of usages of an ambiguous word from a newer time period between senses of this word from an older time period given as a set of sense definitions and some undefined number of clusters that should represent gained senses of this word. We propose and experiment with three new methods solving this task. Our methods achieve SOTA results according to both official metrics of the shared task. Additionally, we develop a model that can tell if a given word usage is not described by any of the provided sense definitions. This model serves as a component in one of our methods, but can potentially be useful on its own.

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