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

Denis Kokosinskii, Mikhail Kuklin, Nikolay Arefyev
8/9/2024
cs.CL

No confident code implementation found for this paper.

Abstract

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.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

AXOLOTL'24 Shared Task on Multilingual Explainable Semantic Change Modeling

87% match2024

Definition generation for lexical semantic change detection

84% match1 repo42024

Quantifying Lexical Semantic Shift via Unbalanced Optimal Transport

82% match1 repo22024

The BD-LSC Dataset: Facilitating the Benchmarking of Models for Lexical Semantic Change Detection in Slang and Standard Usage

82% match2026

Using Synchronic Definitions and Semantic Relations to Classify Semantic Change Types

82% match1 repo12024

Can Word Sense Distribution Detect Semantic Changes of Words?

81% match2023

Cite this paper

@article{kokosinskii2024deepchange,
  title  = {Deep-change at AXOLOTL-24: Orchestrating WSD and WSI Models for Semantic Change Modeling},
  author = {Denis Kokosinskii and Mikhail Kuklin and Nikolay Arefyev},
  year   = {2024},
  eprint = {2408.05184},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2408.05184v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2408.05184.svg)](https://codeofpaper.com/paper/2408.05184)

Discussion