Deep-change at AXOLOTL-24: Orchestrating WSD and WSI Models for Semantic Change Modeling
<|reference_start|>Deep-change at AXOLOTL-24: Orchestrating WSD and WSI Models for Semantic Change Modeling: 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 a polysemous word from a newer time period between senses of this word from an older time period and clusters representing 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 first substask. 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.<|reference_end|>
@article{kokosinskii2024deep-change,
    title={Deep-change at AXOLOTL-24: Orchestrating WSD and WSI Models for Semantic
  Change Modeling},
    author={Denis Kokosinskii, Mikhail Kuklin, Nikolay Arefyev},
    journal={arXiv preprint arXiv:2408.05184},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.05184},
    primaryClass={cs.CL}
}