Luis Villaseñor-Pineda

Also published as: Luis Villasenor, Luis Villasenor-Pineda, Luis Villaseñor


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Automatic Detection of Offensive Language in Social Media: Defining Linguistic Criteria to build a Mexican Spanish Dataset
María José Díaz-Torres | Paulina Alejandra Morán-Méndez | Luis Villasenor-Pineda | Manuel Montes-y-Gómez | Juan Aguilera | Luis Meneses-Lerín
Proceedings of the Second Workshop on Trolling, Aggression and Cyberbullying

Phenomena such as bullying, homophobia, sexism and racism have transcended to social networks, motivating the development of tools for their automatic detection. The challenge becomes greater for languages rich in popular sayings, colloquial expressions and idioms which may contain vulgar, profane or rude words, but not always have the intention of offending, as is the case of Mexican Spanish. Under these circumstances, the identification of the offense goes beyond the lexical and syntactic elements of the message. This first work aims to define the main linguistic features of aggressive, offensive and vulgar language in social networks in order to establish linguistic-based criteria to facilitate the identification of abusive language. For this purpose, a Mexican Spanish Twitter corpus was compiled and analyzed. The dataset included words that, despite being rude, need to be considered in context to determine they are part of an offense. Based on the analysis of this corpus, linguistic criteria were defined to determine whether a message is offensive. To simplify the application of these criteria, an easy-to-follow diagram was designed. The paper presents an example of the use of the diagram, as well as the basic statistics of the corpus.


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Early text classification: a Naïve solution
Hugo Jair Escalante | Manuel Montes y Gomez | Luis Villasenor | Marcelo Luis Errecalde
Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis


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INAOE_UPV-CORE: Extracting Word Associations from Document Corpora to estimate Semantic Textual Similarity
Fernando Sánchez-Vega | Manuel Montes-y-Gómez | Paolo Rosso | Luis Villaseñor-Pineda
Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity

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Sexual predator detection in chats with chained classifiers
Hugo Jair Escalante | Esaú Villatoro-Tello | Antonio Juárez | Manuel Montes-y-Gómez | Luis Villaseñor
Proceedings of the 4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis


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Two Approaches for Multilingual Question Answering: Merging Passages vs. Merging Answers
Rita M. Aceves-Pérez | Manuel Montes-y-Gómez | Luis Villaseñor-Pineda | L. Alfonso Ureña-López
International Journal of Computational Linguistics & Chinese Language Processing, Volume 13, Number 1, March 2008: Special Issue on Cross-Lingual Information Retrieval and Question Answering


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A Language Independent Method for Question Classification
Thamar Solorio | Manuel Pérez-Coutiño | Manuel Montes-y-Gómez | Luis Villaseñor-Pineda | Aurelio López-López
COLING 2004: Proceedings of the 20th International Conference on Computational Linguistics