Regroupement sémantique de définitions en espagnol
arXiv:1501.04920v1
Originality Synthesis-oriented
AI Analysis
This work addresses a domain-specific problem in natural language processing for Spanish language processing, but it is incremental as it applies existing clustering measures to a new language context.
The authors tackled the problem of clustering Spanish definitions by semantic similarity using an unsupervised learning method, achieving evaluation through an adapted Precision and Recall metric.
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.