Rest-Mex: Thematic Unsupervised Classification

Given set of text related to Mexican Tourism, the goal is to build 5 gruops with this set trying that each group represents an important topic of tourism

Publication
Miguel Ángel Álvarez-Carmona, Ángel Díaz-Pacheco, Ramón Aranda, Ansel Yoan Rodríguez-González, Victor Muñiz-Sánchez, Adrián Pastor López-Monroy, Fernando Sánchez-Vega, Lázaro Bustio-Martínez (2023) Overview of Rest-Mex at IberLEF 2023: Research on Sentiment Analysis Task for Mexican Tourist Texts. Procesamiento del Lenguaje Natural, Revista nº 71, septiembre de 2023, pp. 425-436.
Competition
Rest-Mex 2023: Research on Sentiment Analysis Task for Mexican Tourist Texts
Language
Spanish
URL Task
https://sites.google.com/cimat.mx/rest-mex2023
NLP topic
topic modeling
Abstract task
Clustering
Dataset
Rest-Mex 2023 Clustering
Year
2023
Publication link
http://journal.sepln.org/sepl…
Ranking metric
Macro F1

Task results

System MacroF1
UC3M 0.2800
CIMAT 0.2400
UC 0.2100
ITESM 0.2000

If you have published a result better than those on the list, send a message to odesia-comunicacion@lsi.uned.es indicating the result and the DOI of the article, along with a copy of it if it is not published openly.