Fernando Sánchez-Vega

According to our database, Fernando Sánchez-Vega authored at least 27 papers between 2010 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Automatic movie genre classification & emotion recognition via a BiProjection Multimodal Transformer.

Diego Aarón Moreno-Galván, Roberto López-Santillán, Luis Carlos González-Gurrola, Manuel Montes-y-Gómez, Fernando Sánchez-Vega, Adrián Pastor López-Monroy

Inf. Fusion, 2025

2024

Adaptive Cross-lingual Text Classification through In-Context One-Shot Demonstrations.

Emilio Villa-Cueva, Adrián Pastor López-Monroy, Fernando Sánchez-Vega, Thamar Solorio

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Better Together: LLM and Neural Classification Transformers to Detect Sexism.

Judith Tavarez-Rodríguez, Fernando Sánchez-Vega, Alejandro Rosales-Pérez, Adrián Pastor López-Monroy

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

Stacked Reflective Reasoning in Large Neural Language Models.

Kapioma Villarreal Haro, Fernando Sánchez-Vega, Alejandro Rosales-Pérez, Adrián Pastor López-Monroy

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

DAIC-WOZ: On the Validity of Using the Therapist's prompts in Automatic Depression Detection from Clinical Interviews.

Sergio Burdisso, Ernesto Reyes-Ramírez, Esaú Villatoro-Tello, Fernando Sánchez-Vega, Adrián Pastor López-Monroy, Petr Motlícek

Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024

2023

Curriculum learning and evolutionary optimization into deep learning for text classification.

Alfredo Arturo Elías Miranda, Daniel Vallejo Aldana, Fernando Sánchez-Vega, Adrián Pastor López-Monroy, Alejandro Rosales-Pérez, Victor Muñiz-Sanchez

Neural Comput. Appl., October, 2023

Overview of DA-VINCIS at IberLEF 2023: Detection of Aggressive and Violent Incidents from Social Media in Spanish.

Horacio Jesús Jarquín-Vásquez, Delia Irazú Hernández Farías, Luis Joaquín Arellano, Hugo Jair Escalante, Luis Villaseñor Pineda, Manuel Montes-y-Gómez, Fernando Sánchez-Vega

Proces. del Leng. Natural, 2023

Overview of Rest-Mex at IberLEF 2023: Research on Sentiment Analysis Task for Mexican Tourist Texts.

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

Proces. del Leng. Natural, 2023

Improving Transformer by Instance Packaging for Mental Illnesses Identification.

María de Jesús García-Santiago, Fernando Sánchez-Vega, Adrián Pastor López-Monroy

Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), 2023

CIMAT-NLP-GTO at MentalRiskES 2023: Early Detection of Mental Disorders in Spanish Messages using Style Based Models and BERT Models.

Franklin Echeverría-Barú, Fernando Sánchez-Vega, Adrián Pastor López-Monroy

Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), 2023

BUAA's team in Rest-Mex 2023 - Sentiment Analysis: A Basic and Efficient Stylistic and Thematic Features Approach.

Lisette Guadalupe Castorena-Salas, Fernando Sánchez-Vega, Adrián Pastor López-Monroy

Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), 2023

Walter Burns at SemEval-2023 Task 5: NLP-CIMAT - Leveraging Model Ensembles for Clickbait Spoiling.

Emilio Villa-Cueva, Daniel Vallejo Aldana, Fernando Sánchez-Vega, Adrián Pastor López-Monroy

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Few Shot Profiling of Cryptocurrency Influencers using Natural Language Inference & Large Language Models.

Emilio Villa-Cueva, Jorge Miguel Valles-Silva, Adrián Pastor López-Monroy, Fernando Sánchez-Vega, Jesus Roberto López-Santillán

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

Dynamic Regularization in UDA for Transformers in Multimodal Classification.

Ivonne Monter-Aldana, Adrián Pastor López-Monroy, Fernando Sánchez-Vega

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Overview of DA-VINCIS at IberLEF 2022: Detection of Aggressive and Violent Incidents from Social Media in Spanish.

Luis Joaquín Arellano, Hugo Jair Escalante, Luis Villaseñor Pineda, Manuel Montes-y-Gómez, Fernando Sánchez-Vega

Proces. del Leng. Natural, 2022

Bi-Ensembles of Transformer for Online Bilingual Sexism Detection.

Emilio Villa-Cueva, Fernando Sánchez-Vega, Adrián Pastor López-Monroy

Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2022), 2022

NLP-CIMAT at PoliticEs 2022: PolitiBETO, a Domain-Adapted Transformer for Multi-class Political Author Profiling.

Emilio Villa-Cueva, Ivan González-Franco, Fernando Sánchez-Vega, Adrián Pastor López-Monroy

Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2022), 2022

The Winning Approach for the Recommendation Systems Shared Task @REST_MEX 2022.

Cipriano Callejas-Hernández, Erika Rivadeneira-Pérez, Fernando Sánchez-Vega, Adrián Pastor López-Monroy, Esaú Villatoro-Tello

Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2022), 2022

2021

BERT's Auxiliary Sentence focused on Word's Information for Offensiveness Detection.

Fernando Sánchez-Vega, Adrián Pastor López-Monroy

Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2021) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2021), 2021

2019

Paraphrase plagiarism identification with character-level features.

Fernando Sánchez-Vega, Esaú Villatoro-Tello, Manuel Montes-y-Gómez, Paolo Rosso, Efstathios Stamatatos, Luis Villaseñor Pineda

Pattern Anal. Appl., 2019

2018

A visual approach for age and gender identification on Twitter.

Miguel Ángel Álvarez-Carmona, Luis Pellegrin, Manuel Montes-y-Gómez, Fernando Sánchez-Vega, Hugo Jair Escalante, Adrián Pastor López-Monroy, Luis Villaseñor Pineda, Esaú Villatoro-Tello

J. Intell. Fuzzy Syst., 2018

INAOE-UPV at SemEval-2018 Task 3: An Ensemble Approach for Irony Detection in Twitter.

Delia Irazú Hernández Farías, Fernando Sánchez-Vega, Manuel Montes-y-Gómez, Paolo Rosso

Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

HYPLAG: Hybrid Arabic Text Plagiarism Detection System.

Bilal Ghanem, Labib Arafeh, Paolo Rosso, Fernando Sánchez-Vega

Proceedings of the Natural Language Processing and Information Systems, 2018

2013

Determining and characterizing the reused text for plagiarism detection.

Fernando Sánchez-Vega, Esaú Villatoro-Tello, Manuel Montes-y-Gómez, Luis Villaseñor Pineda, Paolo Rosso

Expert Syst. Appl., 2013

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

Proceedings of the Second Joint Conference on Lexical and Computational Semantics, 2013

2012

Optimized Fuzzy Text Alignment for Plagiarism Detection.

Fernando Sánchez-Vega, Manuel Montes-y-Gómez, Luis Villaseñor Pineda

Proceedings of the CLEF 2012 Evaluation Labs and Workshop, 2012

2010

Towards Document Plagiarism Detection Based on the Relevance and Fragmentation of the Reused Text.

Fernando Sánchez-Vega, Luis Villaseñor Pineda, Manuel Montes-y-Gómez, Paolo Rosso

Proceedings of the Advances in Artificial Intelligence, 2010