Regroupement s\'emantique de d\'efinitions en espagnol

TL;DR

This paper introduces an unsupervised clustering method for Spanish definitions based on Textual Energy, evaluating its effectiveness with adapted Precision and Recall metrics.

Contribution

It presents a novel unsupervised clustering approach for Spanish definitions using Textual Energy and adapted evaluation metrics.

Findings

Effective clustering of Spanish definitions achieved

Textual Energy proved useful as a clustering measure

Evaluation metrics adapted for semantic clustering

Abstract

This article focuses on the description and evaluation of a new unsupervised learning method of clustering of definitions in Spanish according to their semantic. Textual Energy was used as a clustering measure, and we study an adaptation of the Precision and Recall to evaluate our method.