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2020 – today
- 2025
[j82]Diego Aarón Moreno-Galván, Roberto López-Santillán, Luis Carlos González-Gurrola, Manuel Montes-y-Gómez, Fernando Sánchez-Vega, Adrián Pastor López-Monroy:
Automatic movie genre classification & emotion recognition via a BiProjection Multimodal Transformer. Inf. Fusion 113: 102641 (2025)- 2024
- [c194]Martha Paola Jimenez-Martinez, Joan Manuel Raygoza-Romero, Carlos Eduardo Sánchez-Torres, Irvin Hussein López-Nava, Manuel Montes-y-Gómez:
Enhancing Sexism Detection in Tweets with Annotator-Integrated Ensemble Methods and Multimodal Embeddings for Memes. CLEF (Working Notes) 2024: 1043-1057 - [c193]Martha Paola Jimenez-Martinez
, Irvin Hussein López-Nava, Manuel Montes-y-Gómez:
An Analysis of the Impact of Gender and Age on Perceiving and Identifying Sexist Posts. MCPR 2024: 308-318 - 2023
- [j81]Ricardo Calderón-Suarez, Rosa María Ortega-Mendoza, Manuel Montes-y-Gómez, Carina Toxqui-Quitl, Marco Antonio Márquez-Vera:
Enhancing the Detection of Misogynistic Content in Social Media by Transferring Knowledge From Song Phrases. IEEE Access 11: 13179-13190 (2023) - [j80]Jorge Hermosillo Valadez, Eliseo Morales-González, Francis C. Fernández-Reyes, Manuel Montes-y-Gómez, Jorge Fuentes-Pacheco, Juan M. Rendón-Mancha:
Exploiting hierarchical dependence structures for unsupervised rank fusion in information retrieval. J. Intell. Inf. Syst. 60(3): 853-876 (2023) - [j79]Marco Casavantes, Mario Ezra Aragón, Luis C. González, Manuel Montes-y-Gómez:
Leveraging posts' and authors' metadata to spot several forms of abusive comments in Twitter. J. Intell. Inf. Syst. 61(2): 519-539 (2023) - [j78]Roberto López-Santillán, Luis C. González, Manuel Montes-y-Gómez, Adrián Pastor López-Monroy:
When attention is not enough to unveil a text's author profile: Enhancing a transformer with a wide branch. Neural Comput. Appl. 35(13): 9607-9626 (2023) - [j77]Horacio Jesús Jarquín-Vásquez, Delia Irazú Hernández Farías, Luis Joaquín Arellano, Hugo Jair Escalante, Luis Villaseñor Pineda, Manuel Montes-y-Gómez, Fernando Sánchez-Vega:
Overview of DA-VINCIS at IberLEF 2023: Detection of Aggressive and Violent Incidents from Social Media in Spanish. Proces. del Leng. Natural 71: 351-360 (2023) - [j76]Mario Ezra Aragón, Adrián Pastor López-Monroy, Luis Carlos González-Gurrola, Manuel Montes-y-Gómez:
Detecting Mental Disorders in Social Media Through Emotional Patterns - The Case of Anorexia and Depression. IEEE Trans. Affect. Comput. 14(1): 211-222 (2023) - [c192]Andrés Rosso-Mateus, León A. Muñoz-Serna, Manuel Montes-y-Gómez, Fabio A. González:
Deep Metric Learning for Effective Passage Retrieval in the BioASQ Challenge. CLEF (Working Notes) 2023: 168-177 - [c191]Horacio Jesús Jarquín-Vásquez, Hugo Jair Escalante, Manuel Montes-y-Gómez:
Improving the Identification of Abusive Language Through Careful Design of Pre-training Tasks. MCPR 2023: 283-292 - [c190]Marco Casavantes, Manuel Montes-y-Gómez, Luis Carlos González-Gurrola, Alberto Barrón-Cedeño:
Propitter: A Twitter Corpus for Computational Propaganda Detection. MICAI (2) 2023: 16-27 - [c189]Marco Casavantes, Manuel Montes-y-Gómez, Delia Irazú Hernández Farías, Luis Carlos González-Gurrola, Alberto Barrón-Cedeño:
PropaLTL at DIPROMATS: Incorporating Contextual Features with BERT's Auxiliary Input for Propaganda Detection on Tweets. IberLEF@SEPLN 2023 - [c188]Salud María Jiménez-Zafra, Manuel Montes-y-Gómez, Francisco Rangel:
IberLEF 2023 Overview: Natural Language Processing for Iberian Languages. IberLEF@SEPLN 2023 - [e5]Manuel Montes-y-Gómez, Francisco Rangel, Salud María Jiménez-Zafra, Marco Casavantes, Begoña Altuna, Miguel Ángel Álvarez-Carmona, Gemma Bel-Enguix, Luis Chiruzzo, Iker de la Iglesia, Hugo Jair Escalante, Miguel Ángel García Cumbreras, José Antonio García-Díaz, José Ángel González Barba, Roberto Labadie Tamayo, Salvador Lima, Pablo Moral, Flor Miriam Plaza del Arco, Rafael Valencia-García:
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), Jaén, Spain, September 26, 2023. CEUR Workshop Proceedings 3496, CEUR-WS.org 2023 [contents] - 2022
- [j75]Rosa María Ortega-Mendoza, Delia Irazú Hernández Farías, Manuel Montes-y-Gómez, Luis Villaseñor Pineda:
Revealing traces of depression through personal statements analysis in social media. Artif. Intell. Medicine 123: 102202 (2022) - [j74]Mario Ezra Aragón, Adrián Pastor López-Monroy, Luis Carlos González-Gurrola, Manuel Montes-y-Gómez:
Approaching what and how people with mental disorders communicate in social media-Introducing a multi-channel representation. Neural Comput. Appl. 34(22): 20149-20164 (2022) - [j73]Itzel Tlelo-Coyotecatl, Hugo Jair Escalante, Manuel Montes-y-Gómez:
Depression Recognition in Social Media based on Symptoms' Detection. Proces. del Leng. Natural 68: 25-37 (2022) - [j72]Mario Ezra Aragón, Adrián Pastor López-Monroy, Luis Carlos González-Gurrola, Manuel Montes-y-Gómez:
Information fusion for mental disorders detection: multimodal BERT against fusioning multiple BERTs. Proces. del Leng. Natural 69: 27-38 (2022) - [j71]Monserrat Vázquez-Hernández, Luis Villaseñor Pineda, Manuel Montes-y-Gómez:
A Semantic-Proximity Term-Weighting Scheme for Aspect Category Detection. Proces. del Leng. Natural 69: 117-127 (2022) - [j70]Luis Joaquín Arellano, Hugo Jair Escalante, Luis Villaseñor Pineda, Manuel Montes-y-Gómez, Fernando Sánchez-Vega:
Overview of DA-VINCIS at IberLEF 2022: Detection of Aggressive and Violent Incidents from Social Media in Spanish. Proces. del Leng. Natural 69: 207-215 (2022) - [c187]Delia Irazú Hernández Farías, Manuel Montes-y-Gómez:
Exploiting Affective-based Information for Profiling Ironic Users on Twitter. CLEF (Working Notes) 2022: 2482-2490 - [c186]Alberto Valdés-Chávez, J. Roberto López-Santillán, Luis Carlos González-Gurrola, Graciela Ramírez Alonso, Manuel Montes-y-Gómez:
A Wide & Deep Learning Approach for Covid-19 Tweet Classification. MCPR 2022: 225-234 - [c185]José Alberto Fuentes-Carbajal, Manuel Montes-y-Gómez, Luis Villaseñor Pineda:
Does This Tweet Report an Adverse Drug Reaction? An Enhanced BERT-Based Method to Identify Drugs Side Effects in Twitter. MCPR 2022: 235-244 - [c184]Jennifer Pérez-Santiago, Luis Villaseñor Pineda, Manuel Montes-y-Gómez:
We Will Know Them by Their Style: Fake News Detection Based on Masked N-Grams. MCPR 2022: 245-254 - [c183]Sebastián Rascón-Cervantes, Graciela Ramírez Alonso, Juan A. Ramirez-Quintana, Manuel Montes-y-Gómez, J. Roberto López-Santillán:
OSLeD-wA: A One-Stage Lesion Detection Method with Attention Mechanisms. MCPR 2022: 305-315 - [c182]Julio Gonzalo, Manuel Montes-y-Gómez, Francisco Rangel:
IberLEF 2022 Overview: Natural Language Processing for Iberian Languages. IberLEF@SEPLN 2022 - [e4]Manuel Montes-y-Gómez, Julio Gonzalo, Francisco Rangel, Marco Casavantes, Miguel Ángel Álvare Carmona, Gemma Bel-Enguix, Hugo Jair Escalante, Larissa A. de Freitas, Antonio Miranda-Escalada, Francisco J. Rodríguez-Sanchez, Aiala Rosá, Marco Antonio Sobrevilla Cabezudo, Mariona Taulé, Rafael Valencia-García:
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2022), A Coruña, Spain, September 20, 2022. CEUR Workshop Proceedings 3202, CEUR-WS.org 2022 [contents] - [i13]Jorge Hermosillo Valadez, Eliseo Morales-González, Francis C. Fernández-Reyes, Manuel Montes-y-Gómez, Jorge Fuentes-Pacheco, Juan M. Rendón-Mancha:
Exploiting Hierarchical Dependence Structures for Unsupervised Rank Fusion in Information Retrieval. CoRR abs/2208.05574 (2022) - 2021
- [j69]Juan Aguilera, Delia Irazú Hernández Farías, Rosa María Ortega-Mendoza, Manuel Montes-y-Gómez:
Depression and anorexia detection in social media as a one-class classification problem. Appl. Intell. 51(8): 6088-6103 (2021) - [j68]José de Jesús Titla-Tlatelpa, Rosa María Ortega-Mendoza, Manuel Montes-y-Gómez, Luis Villaseñor Pineda:
A profile-based sentiment-aware approach for depression detection in social media. EPJ Data Sci. 10(1): 54 (2021) - [j67]Sergio Gastón Burdisso, Marcelo Errecalde, Manuel Montes-y-Gómez:
Using Text Classification to Estimate the Depression Level of Reddit Users. J. Comput. Sci. Technol. 21(1): 1 (2021) - [j66]Javier Sánchez-Junquera, Paolo Rosso, Manuel Montes-y-Gómez, Berta Chulvi:
Masking and BERT-based Models for Stereotype Identication. Proces. del Leng. Natural 67: 83-94 (2021) - [j65]Flor Miriam Plaza del Arco, Marco Casavantes, Hugo Jair Escalante, María Teresa Martín Valdivia, Arturo Montejo-Ráez, Manuel Montes-y-Gómez, Horacio Jesús Jarquín-Vásquez, Luis Villaseñor Pineda:
Overview of MeOffendEs at IberLEF 2021: Offensive Language Detection in Spanish Variants. Proces. del Leng. Natural 67: 183-194 (2021) - [c181]Horacio Jesús Jarquín-Vásquez, Hugo Jair Escalante, Manuel Montes-y-Gómez:
Self-Contextualized Attention for Abusive Language Identification. SocialNLP@NAACL 2021: 103-112 - [c180]Juan Aguilera, Delia Irazú Hernández Farías, Manuel Montes-y-Gómez, Luis Carlos González-Gurrola:
Detecting Traces of Self-harm in Social Media: A Simple and Interpretable Approach. MICAI (2) 2021: 196-207 - [c179]Javier Sánchez-Junquera, Paolo Rosso, Manuel Montes-y-Gómez, Simone Paolo Ponzetto:
Masking and Transformer-based Models for Hyperpartisanship Detection in News. RANLP 2021: 1244-1251 - [c178]Julio Gonzalo, Manuel Montes-y-Gómez, Paolo Rosso:
IberLEF 2021 Overview: Natural Language Processing for Iberian Languages. IberLEF@SEPLN 2021: 1-15 - [c177]Juan S. Lara, Mario Ezra Aragón, Fabio A. González, Manuel Montes-y-Gómez:
Deep Bag-of-Sub-Emotions for Depression Detection in Social Media. TDS 2021: 60-72 - [i12]Juan S. Lara, Mario Ezra Aragón, Fabio A. González, Manuel Montes-y-Gómez:
Deep Bag-of-Sub-Emotions for Depression Detection in Social Media. CoRR abs/2103.01334 (2021) - 2020
- [j64]Miguel Ángel Álvarez-Carmona, Esaú Villatoro-Tello, Manuel Montes-y-Gómez, Luis Villaseñor Pineda:
Author Profiling in Social Media with Multimodal Information. Computación y Sistemas 24(3) (2020) - [j63]J. Roberto López-Santillán, Manuel Montes-y-Gómez, Luis Carlos González-Gurrola, Graciela Ramírez Alonso, Olanda Prieto-Ordaz:
Richer Document Embeddings for Author Profiling tasks based on a heuristic search. Inf. Process. Manag. 57(4): 102227 (2020) - [j62]Orlando Ramos Flores, David Pinto, Manuel Montes-y-Gómez, Andrés Vázquez:
Probabilistic vs deep learning based approaches for narrow domain NER in Spanish. J. Intell. Fuzzy Syst. 39(2): 2015-2025 (2020) - [j61]Andrés Rosso-Mateus, Manuel Montes-y-Gómez, Paolo Rosso, Fabio A. González:
Deep fusion of multiple term-similarity measures for biomedical passage retrieval. J. Intell. Fuzzy Syst. 39(2): 2239-2248 (2020) - [j60]John Edison Arevalo Ovalle, Thamar Solorio, Manuel Montes-y-Gómez, Fabio A. González:
Gated multimodal networks. Neural Comput. Appl. 32(14): 10209-10228 (2020) - [j59]Javier Sánchez-Junquera, Luis Villaseñor Pineda, Manuel Montes-y-Gómez, Paolo Rosso, Efstathios Stamatatos:
Masking domain-specific information for cross-domain deception detection. Pattern Recognit. Lett. 135: 122-130 (2020) - [j58]Juan Aguilera, Luis Carlos González-Gurrola, Manuel Montes-y-Gómez, Roberto López-Santillán, Hugo Jair Escalante:
From neighbors to strengths - the k-strongest strengths (kSS) classification algorithm. Pattern Recognit. Lett. 136: 301-308 (2020) - [j57]Julian Fiérrez, Aythami Morales, Rubén Vera-Rodríguez, Manuel Montes-y-Gómez, Sergio A. Velastin:
Special Section: CIARP 2018. Pattern Recognit. Lett. 136: 317 (2020) - [j56]Sergio Gastón Burdisso, Marcelo Errecalde, Manuel Montes-y-Gómez:
τ-SS3: A text classifier with dynamic n-grams for early risk detection over text streams. Pattern Recognit. Lett. 138: 130-137 (2020) - [j55]Monserrat Vázquez-Hernández, Luis Villaseñor Pineda, Manuel Montes-y-Gómez:
Identificación y pesado de términos para la detección de depresión en Twitter. Res. Comput. Sci. 149(8): 465-474 (2020) - [j54]Jennifer Pérez-Santiago, Luis Villaseñor Pineda, Manuel Montes-y-Gómez:
Usando representaciones distribuidas para el análisis de técnicas propagandísticas en noticias falsas. Res. Comput. Sci. 149(8): 587-598 (2020) - [c176]María José Díaz-Torres, Paulina Alejandra Morán-Méndez, Luis Villaseñor Pineda, Manuel Montes-y-Gómez, Juan Aguilera, Luis Meneses-Lerín:
Automatic Detection of Offensive Language in Social Media: Defining Linguistic Criteria to build a Mexican Spanish Dataset. TRAC@LREC 2020: 132-136 - [c175]Mario Ezra Aragón, Adrián Pastor López-Monroy, Manuel Montes-y-Gómez:
INAOE-CIMAT at eRisk 2020: Detecting Signs of Self-Harm using Sub-Emotions and Words. CLEF (Working Notes) 2020 - [c174]Andrés Rosso-Mateus, Fabio A. González, Manuel Montes-y-Gómez:
A Deep Metric Learning Method for Biomedical Passage Retrieval. COLING 2020: 6229-6239 - [c173]Horacio Jesús Jarquín-Vásquez, Manuel Montes-y-Gómez, Luis Villaseñor Pineda:
Not All Swear Words Are Used Equal: Attention over Word n-grams for Abusive Language Identification. MCPR 2020: 282-292 - [c172]Mario Ezra Aragón, Horacio Jesús Jarquín-Vásquez, Manuel Montes-y-Gómez, Hugo Jair Escalante, Luis Villaseñor Pineda, Helena Gómez-Adorno, Juan Pablo Posadas-Durán, Gemma Bel-Enguix:
Overview of MEX-A3T at IberLEF 2020: Fake News and Aggressiveness Analysis in Mexican Spanish. IberLEF@SEPLN 2020: 222-235 - [c171]Mario Ezra Aragón, Adrián Pastor López-Monroy, Luis Carlos González-Gurrola, Manuel Montes-y-Gómez:
Attention to Emotions: Detecting Mental Disorders in Social Media. TDS 2020: 231-239 - [e3]Miguel Ángel García Cumbreras, Julio Gonzalo, Eugenio Martínez Cámara, Raquel Martínez-Unanue, Paolo Rosso, Salud M. Jiménez-Zafra, Jenny Alexandra Ortiz Zambrano, Antonio Miranda, Jordi Porta Zamorano, Yoan Gutiérrez, Aiala Rosá, Manuel Montes-y-Gómez, Manuel García Vega:
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2020) co-located with 36th Conference of the Spanish Society for Natural Language Processing (SEPLN 2020), Málaga, Spain, September 23th, 2020. CEUR Workshop Proceedings 2664, CEUR-WS.org 2020 [contents]
2010 – 2019
- 2019
- [j53]Rosa María Ortega-Mendoza, Anilu Franco-Arcega, Manuel Montes-y-Gómez:
Author Profiling on Social Media using New Weighting Schemes that Emphasize Personal Information. Computación y Sistemas 23(2): 501-510 (2019) - [j52]Sergio Gastón Burdisso, Marcelo Errecalde, Manuel Montes-y-Gómez:
A text classification framework for simple and effective early depression detection over social media streams. Expert Syst. Appl. 133: 182-197 (2019) - [j51]Simona Frenda, Bilal Ghanem, Manuel Montes-y-Gómez, Paolo Rosso:
Online Hate Speech against Women: Automatic Identification of Misogyny and Sexism on Twitter. J. Intell. Fuzzy Syst. 36(5): 4743-4752 (2019) - [j50]Miguel Ángel Álvarez-Carmona, Esaú Villatoro-Tello, Manuel Montes-y-Gómez, Luis Villaseñor Pineda:
A comparative analysis of distributional term representations for author profiling in social media. J. Intell. Fuzzy Syst. 36(5): 4857-4868 (2019) - [j49]Adrián Pastor López-Monroy, Manuel Montes-y-Gómez, Hugo Jair Escalante, Fabio A. González:
Novel Distributional Visual-Feature Representations for image classification. Multim. Tools Appl. 78(9): 11313-11336 (2019) - [j48]Luis Pellegrin, Hugo Jair Escalante, Manuel Montes-y-Gómez, Fabio A. González:
Exploiting label semantic relatedness for unsupervised image annotation with large free vocabularies. Multim. Tools Appl. 78(14): 19641-19662 (2019) - [j47]Fernando Sánchez-Vega, Esaú Villatoro-Tello, Manuel Montes-y-Gómez, Paolo Rosso, Efstathios Stamatatos, Luis Villaseñor Pineda:
Paraphrase plagiarism identification with character-level features. Pattern Anal. Appl. 22(2): 669-681 (2019) - [c170]Javier Sánchez-Junquera, Paolo Rosso, Manuel Montes-y-Gómez, Simone Paolo Ponzetto:
Unmasking Bias in News. CICLing (1) 2019: 658-667 - [c169]Mario Ezra Aragón, Adrián Pastor López-Monroy, Manuel Montes-y-Gómez:
INAOE-CIMAT at eRisk 2019: Detecting Signs of Anorexia using Fine-Grained Emotions. CLEF (Working Notes) 2019 - [c168]Sergio Gastón Burdisso, Marcelo Errecalde, Manuel Montes-y-Gómez:
UNSL at eRisk 2019: a Unified Approach for Anorexia, Self-harm and Depression Detection in Social Media. CLEF (Working Notes) 2019 - [c167]Laritza Coello-Guilarte, Rosa María Ortega-Mendoza, Luis Villaseñor Pineda, Manuel Montes-y-Gómez:
Crosslingual Depression Detection in Twitter Using Bilingual Word Alignments. CLEF 2019: 49-61 - [c166]Víctor Jiménez-Villar, Javier Sánchez-Junquera, Manuel Montes-y-Gómez, Luis Villaseñor Pineda, Simone Paolo Ponzetto:
Bots and Gender Profiling using Masking Techniques. CLEF (Working Notes) 2019 - [c165]Jesus López-Santillán, Luis Carlos González-Gurrola, Manuel Montes-y-Gómez, Graciela Ramírez Alonso, Olanda Prieto-Ordaz:
An Evolutionary Approach to Build User Representations for Profiling of Bots and Humans in Twitter. CLEF (Working Notes) 2019 - [c164]Rosa María Ortega-Mendoza, Delia Irazú Hernández Farías, Manuel Montes-y-Gómez:
LTL-INAOE's Participation at eRisk 2019: Detecting Anorexia in Social Media through Shared Personal Information. CLEF (Working Notes) 2019 - [c163]Marco Casavantes, Roberto López-Santillán, Luis Carlos González-Gurrola, Manuel Montes-y-Gómez:
UACh-INAOE at HASOC 2019: Detecting Aggressive Tweets by Incorporating Authors' Traits as Descriptors. FIRE (Working Notes) 2019: 300-307 - [c162]Delia Irazú Hernández Farías, Rosa María Ortega-Mendoza, Manuel Montes-y-Gómez:
Exploring the Use of Psycholinguistic Information in Author Profiling. MCPR 2019: 411-421 - [c161]Ivan Feliciano-Avelino, Miguel Ángel Álvarez-Carmona, Hugo Jair Escalante, Manuel Montes-y-Gómez, Luis Villaseñor Pineda:
Cross-Cultural Image-Based Author Profiling in Twitter. MICAI 2019: 353-363 - [c160]Mario Ezra Aragón, Adrián Pastor López-Monroy, Luis Carlos González-Gurrola, Manuel Montes-y-Gómez:
Detecting Depression in Social Media using Fine-Grained Emotions. NAACL-HLT (1) 2019: 1481-1486 - [c159]Mónica Pineda Vargas, Andrés Rosso-Mateus, Fabio A. González, Manuel Montes-y-Gómez:
A Mixed Information Source Approach for Biomedical Question Answering: MindLab at BioASQ 7B. PKDD/ECML Workshops (2) 2019: 595-606 - [c158]Suraj Maharjan, Deepthi Mave, Prasha Shrestha, Manuel Montes-y-Gómez, Fabio Augusto González Osorio, Thamar Solorio:
Jointly Learning Author and Annotated Character N-gram Embeddings: A Case Study in Literary Text. RANLP 2019: 684-692 - [c157]Reynier Ortega Bueno, Francisco M. Rangel Pardo, Delia Irazú Hernández Farías, Paolo Rosso, Manuel Montes-y-Gómez, José Medina-Pagola:
Overview of the Task on Irony Detection in Spanish Variants. IberLEF@SEPLN 2019: 229-256 - [c156]Mario Ezra Aragón, Miguel Ángel Álvarez-Carmona, Manuel Montes-y-Gómez, Hugo Jair Escalante, Luis Villaseñor Pineda, Daniela Moctezuma:
Overview of MEX-A3T at IberLEF 2019: Authorship and Aggressiveness Analysis in Mexican Spanish Tweets. IberLEF@SEPLN 2019: 478-494 - [e2]Miguel Ángel García Cumbreras, Julio Gonzalo, Eugenio Martínez Cámara, Raquel Martínez-Unanue, Paolo Rosso, Jorge Carrillo-de-Albornoz, Soto Montalvo, Luis Chiruzzo, Sandra Collovini, Yoan Gutiérrez, Salud M. Jiménez-Zafra, Martin Krallinger, Manuel Montes-y-Gómez, Reynier Ortega-Bueno, Aiala Rosá:
Proceedings of the Iberian Languages Evaluation Forum co-located with 35th Conference of the Spanish Society for Natural Language Processing, IberLEF@SEPLN 2019, Bilbao, Spain, September 24th, 2019. CEUR Workshop Proceedings 2421, CEUR-WS.org 2019 [contents] - [i11]Sergio Gastón Burdisso, Marcelo Errecalde, Manuel Montes-y-Gómez:
A Text Classification Framework for Simple and Effective Early Depression Detection Over Social Media Streams. CoRR abs/1905.08772 (2019) - [i10]Miguel Ángel Álvarez-Carmona, Esaú Villatoro-Tello, Manuel Montes-y-Gómez, Luis Villaseñor Pineda:
A Comparative Analysis of Distributional Term Representations for Author Profiling in Social Media. CoRR abs/1905.08780 (2019) - [i9]Javier Sánchez-Junquera, Paolo Rosso, Manuel Montes-y-Gómez, Simone Paolo Ponzetto:
Unmasking Bias in News. CoRR abs/1906.04836 (2019) - [i8]Sergio Gastón Burdisso, Marcelo Errecalde, Manuel Montes-y-Gómez:
t-SS3: a text classifier with dynamic n-grams for early risk detection over text streams. CoRR abs/1911.06147 (2019) - [i7]Sergio Gastón Burdisso, Marcelo Errecalde, Manuel Montes-y-Gómez:
PySS3: A Python package implementing a novel text classifier with visualization tools for Explainable AI. CoRR abs/1912.09322 (2019) - 2018
- [j46]José de Jesús Lavalle-Martínez, Manuel Montes-y-Gómez, Héctor Jiménez-Salazar, Luis Villaseñor Pineda, Beatríz Beltrán Martínez:
Automatic Theorem Proving for Natural Logic: a Case Study on Textual Entailment. Computación y Sistemas 22(1) (2018) - [j45]Francis C. Fernández-Reyes, Jorge Hermosillo Valadez, Manuel Montes-y-Gómez:
A Prospect-Guided global query expansion strategy using word embeddings. Inf. Process. Manag. 54(1): 1-13 (2018) - [j44]Miguel Ángel Álvarez-Carmona, Marc Franco-Salvador, Esaú Villatoro-Tello, Manuel Montes-y-Gómez, Paolo Rosso, Luis Villaseñor Pineda:
Semantically-informed distance and similarity measures for paraphrase plagiarism identification. J. Intell. Fuzzy Syst. 34(5): 2983-2990 (2018) - [j43]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:
A visual approach for age and gender identification on Twitter. J. Intell. Fuzzy Syst. 34(5): 3133-3145 (2018) - [j42]Yanet Fors-Isalguez, Jorge Hermosillo Valadez, Manuel Montes-y-Gómez:
Query-oriented text summarization based on multiobjective evolutionary algorithms and word embeddings. J. Intell. Fuzzy Syst. 34(5): 3235-3244 (2018) - [j41]Rosa María Ortega-Mendoza, Adrián Pastor López-Monroy, Anilu Franco-Arcega, Manuel Montes-y-Gómez:
Emphasizing personal information for Author Profiling: New approaches for term selection and weighting. Knowl. Based Syst. 145: 169-181 (2018) - [j40]José de Jesús Lavalle-Martínez, Manuel Montes-y-Gómez, Luis Villaseñor Pineda, Héctor Jiménez-Salazar, Ismael Everardo Bárcenas Patiño:
Equivalences Among Polarity Algorithms. Stud Logica 106(2): 371-395 (2018) - [c155]Juan Aguilera, Luis Carlos González-Gurrola, Manuel Montes-y-Gómez, Paolo Rosso:
A New Weighted k-Nearest Neighbor Algorithm Based on Newton's Gravitational Force. CIARP 2018: 305-313 - [c154]Dante López, Luis Villaseñor Pineda, Manuel Montes-y-Gómez, Eduardo F. Morales, Hugo Jair Escalante:
Predicting Academic-Challenge Success. CIARP 2018: 874-883 - [c153]Dario G. Funez, Maria José Garciarena Ucelay, Maria Paula Villegas, Sergio Burdisso, Leticia C. Cagnina, Manuel Montes-y-Gómez, Marcelo Errecalde:
UNSL's participation at eRisk 2018 Lab. CLEF (Working Notes) 2018 - [c152]Bilal Ghanem, Manuel Montes-y-Gómez, Francisco M. Rangel Pardo, Paolo Rosso:
UPV-INAOE - Check That: An Approach based on External Sources to Detect Claims Credibility. CLEF (Working Notes) 2018 - [c151]Bilal Ghanem, Manuel Montes-y-Gómez, Francisco M. Rangel Pardo, Paolo Rosso:
UPV-INAOE - Check That: Preliminary Approach for Checking Worthiness of Claims. CLEF (Working Notes) 2018 - [c150]Rosa María Ortega-Mendoza, Adrián Pastor López-Monroy, Anilu Franco-Arcega, Manuel Montes-y-Gómez:
PEIMEX at eRisk2018: Emphasizing Personal Information for Depression and Anorexia Detection. CLEF (Working Notes) 2018 - [c149]Francisco M. Rangel Pardo, Paolo Rosso, Manuel Montes-y-Gómez, Martin Potthast, Benno Stein:
Overview of the 6th Author Profiling Task at PAN 2018: Multimodal Gender Identification in Twitter. CLEF (Working Notes) 2018 - [c148]Javier Sánchez-Junquera, Luis Villaseñor Pineda, Manuel Montes-y-Gómez, Paolo Rosso:
Character N-Grams for Detecting Deceptive Controversial Opinions. CLEF 2018: 135-140 - [c147]Suraj Maharjan, Manuel Montes-y-Gómez, Fabio A. González, Thamar Solorio:
A Genre-Aware Attention Model to Improve the Likability Prediction of Books. EMNLP 2018: 3381-3391 - [c146]Simona Frenda, Bilal Ghanem, Estefanía Guzmán-Falcón, Manuel Montes-y-Gómez, Luis Villaseñor Pineda:
Automatic Expansion of Lexicons for Multilingual Misogyny Detection. EVALITA@CLiC-it 2018 - [c145]Delia Irazú Hernández Farías, Manuel Montes-y-Gómez, Hugo Jair Escalante, Paolo Rosso, Viviana Patti:
A Knowledge-Based Weighted KNN for Detecting Irony in Twitter. MICAI (2) 2018: 194-206 - [c144]Suraj Maharjan, Sudipta Kar, Manuel Montes-y-Gómez, Fabio A. González, Thamar Solorio:
Letting Emotions Flow: Success Prediction by Modeling the Flow of Emotions in Books. NAACL-HLT (2) 2018: 259-265 - [c143]Adrián Pastor López-Monroy, Fabio A. González, Manuel Montes-y-Gómez, Hugo Jair Escalante, Thamar Solorio:
Early Text Classification Using Multi-Resolution Concept Representations. NAACL-HLT 2018: 1216-1225 - [c142]Delia Irazú Hernández Farías, Fernando Sánchez-Vega, Manuel Montes-y-Gómez, Paolo Rosso:
INAOE-UPV at SemEval-2018 Task 3: An Ensemble Approach for Irony Detection in Twitter. SemEval@NAACL-HLT 2018: 594-599 - [c141]Miguel Ángel Álvarez-Carmona, Estefanía Guzmán-Falcón, Manuel Montes-y-Gómez, Hugo Jair Escalante, Luis Villaseñor Pineda, Verónica Reyes-Meza, Antonio Rico Sulayes:
Overview of MEX-A3T at IberEval 2018: Authorship and Aggressiveness Analysis in Mexican Spanish Tweets. IberEval@SEPLN 2018: 74-96 - [c140]Simona Frenda, Bilal Ghanem, Manuel Montes-y-Gómez:
Exploration of Misogyny in Spanish and English Tweets. IberEval@SEPLN 2018: 260-267 - [i6]