Past edition
Rest-Mex 2021
Rest-Mex 2021
Last year the first edition of Rest-Mex was held. In this edition, ten teams participated in two tasks: Recommendation system and Sentiment analysis.
Derived from the 2021 edition, the following was achieved: 9 articles by participants, mention in the general article of IberLef 2021, and an overview of the forum. You can consult these articles below.
Overview of rest-mex at iberlef 2021: Recommendation system for text mexican tourism
Miguel Á. Álvarez-Carmona et. al.
IberLEF 2021 Overview: Natural Language Processing for Iberian Languages1-15 Julio Gonzalo, Manuel Montes-y-Gómez, Paolo Rosso
An Embeddings Based Recommendation System for Mexican Tourism. Submission to the REST-MEX Shared Task at IberLEF 2021
Jean Arreola, Lizeth Garcia, Jorge Ramos-Zavaleta, Adrian Rodriguez
A Recommendation System for Tourism Based on Semantic Representations and Statistical Relational Learning
Eliseo Morales-Gonzalez, David Torres-Moreno, Alexandra Ehrlich-Lopez, Mauricio Toledo-Acosta, Bolivar Martinez-Zaldivar, Jorge Hermosillo-Valadez
Naive Features for Sentiment Analysis on Mexican Touristic Opinions Texts
Gabriela Carmona-Sanchez, Angel Carmona, Miguel A. Alvarez-Carmona
DCI-UG participation at REST-MEX 2021: A Transfer Learning Approach for Sentiment Analysis in Spanish
Geovanni Velazquez Medina, Delia Irazu Hernandez Farias
Semantic Representations of Words and Automatic Keywords Extraction for Sentiment Analysis of Tourism Reviews
Mauricio Toledo-Acosta, Bolivar Martinez-Zaldivar, Alexandra Ehrlich-Lopez, Eliseo Morales-Gonzalez, David Torres-Moreno, Jorge Hermosillo-Valadez
Bert-based Approach for Sentiment Analysis of Spanish Reviews from TripAdvisor
Juan Vásquez, Helena Gómez-Adorno, Gemma Bel-Enguix
Techkatl: A Sentiment Analysis Model to Identify the Polarity of Mexican’s Tourism Opinions
Eduardo Roldán Reyes
Sentiment Classification for Mexican Tourist Reviews based on K-NN and Jaccard Distance
Alejandra Romero-Cantón, Ramon Aranda
Cascade of Biased Two-class Classifiers for Multi-class Sentiment Analysis
José Abreu, Pedro Mirabal, Adrián Ballester-Espinosa