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ORCIDIberLEF@SEPLN 2023: Jaén, Spain
- 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 - Preface.
- Organization.
- Salud María Jiménez Zafra, Manuel Montes-y-Gómez, Francisco Rangel:
IberLEF 2023 Overview: Natural Language Processing for Iberian Languages.
Automated Text Identification Shared Task (AuTexTification)
- Claudiu Creanga, Liviu Petrisor Dinu:
Automated Text Identification Using CNN and Training Dynamics. - Judita Preiss, Monica Lestari Paramita:
Do Origin and Facts Identify Automatically Generated Text? - Hongyan Wu, Nankai Lin, Shengyi Jiang:
Syntax-based Contrastive Learning for Automated Text Identification. - Maryam Elamine, Asma Mekki, Lamia Hadrich Belguith:
A Method for Identifying Bot Generated Text : Notebook for IberLEF 2023. - Luis Enrique Morales-Márquez, Erick Barrios González, David Eduardo Pinto Avendaño:
Artificial Intelligence-Based Text Classification: Separating Human Writing from Computer Generated Writing. - César Espin-Riofrio, Jenny Ortiz-Zambrano, Arturo Montejo-Ráez:
SINAI at AuTexTification in IberLEF 2023: Combining All Layer Embeddings for Automatically Generated Texts. - Piotr Przybyla, Nicolau Duran-Silva, Santiago Egea Gómez:
I've Seen Things You Machines Wouldn't Believe: Measuring Content Predictability to Identify Automatically-Generated Text. - Margherita Gambini, Marco Avvenuti, Fabrizio Falchi, Maurizio Tesconi, Tiziano Fagni:
Detecting Generated Text and Attributing Language Model Source with Fine-tuned Models and Semantic Understanding. - George K. Mikros, Athanasios Koursaris, Dimitrios Bilianos, George Markopoulos:
AI-Writing Detection Using an Ensemble of Transformers and Stylometric Features. - Zayra Villegas-Trejo, Helena Gómez-Adorno, Sergio-Luis Ojeda-Trueba:
Exploring Text Representations for Detecting Automatically Generated Text. - Fernando Aguilar-Canto, Marco A. Cardoso-Moreno, Diana Jiménez, Hiram Calvo:
GPT-2 versus GPT-3 and Bloom: LLMs for LLMs Generative Text Detection. - Alberto Fernández-Hernández, Juan Luis Arboledas-Márquez, Julián Ariza-Merino, Salud María Jiménez Zafra:
Taming the Turing Test: Exploring Machine Learning Approaches to Discriminate Human vs. AI-Generated Texts. - Iván Martínez-Murillo, Robiert Sepúlveda-Torres
, Estela Saquete, Elena Lloret, Manuel Palomar:
Team GPLSI at AuTexTification Shared Task: Determining the Authorship of a Text. - Harika Abburi, Michael Suesserman, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya:
Generative AI Text Classification using Ensemble LLM Approaches. - German Gritsay, Andrey Grabovoy, Aleksandr Kildyakov, Yury Chekhovich:
Automated Text Identification: Multilingual Transformer-based Models Approach. - Rinaldo Gagiano, Haytham Fayek, Maria Myung-Hee Kim, Jennifer Biggs, Xiuzhen Zhang:
IberLEF 2023 AuTexTification: Automated Text Identification Shared Task - Team OD-21. - Lara Alonso Simón, José Antonio Gonzalo Gimeno, Ana María Fernández-Pampillón Cesteros, Marianela Fernández Trinidad, María Victoria Escandell Vidal:
Using Linguistic Knowledge for Automated Text Identification. - Tatjana Scheibe, Thomas Mandl:
Univ. of Hildesheim at AuTexTification 2023: Detection of Automatically Generated Texts. - Andrei-Alexandru Preda, Dumitru-Clementin Cercel, Traian Rebedea, Costin-Gabriel Chiru:
UPB at IberLEF-2023 AuTexTification: Detection of Machine-Generated Text using Transformer Ensembles. - Manex Agirrezabal:
Exploring the Distinction: Investigating the Recognition of Automatic Text Generation Systems and Differentiating Human Text from Language Models.
Automatic identification of sections in clinical documents (ClinAIS)
- Pere Marco Garcia, María José Castro Bleda, Encarna Segarra, Lluís-Felip Hurtado:
ELiRF at ClinAIS Task: Automatic Identification of Sections in Clinical Documents. - Andrés Duque, Lourdes Araujo, Juan Martínez-Romo, Hermenegildo Fabregat:
LSI_UNED at ClinAIS 2023: Transformer Models for Section Identification in Spanish Medical Reports. - Jónathan Heras:
Two-stage Fine-Tuning for Automatic Identification of Sections in Clinical Documents. - Mariia Chizhikova, Manuel Carlos Díaz-Galiano, Luis Alfonso Ureña López, María Teresa Martín Valdivia:
Automatic Segmentation of Clinical Narratives in Sections with Pre-Trained Clinical Transformer Models. - Andrés Carvallo, Matías Rojas, Carlos Muñoz-Castro, Claudio Aracena, Rodrigo Guerra, Benjamín Pizarro, Jocelyn Dunstan:
Automatic Section Classification in Spanish Clinical Narratives Using Chunked Named Entity Recognition.
MEDical DOcument PLAcerelated Content Extraction (MEDDOPLACE)
- Mariia Chizhikova, Jaime Collado-Montañez, Manuel Carlos Díaz-Galiano, Luis Alfonso Ureña López, María Teresa Martín Valdivia:
SINAI@MEDDOPLACE: Detecting, Normalizing, and Classifying Places and Related Information in Spanish Medical Texts. - David Roldán-Álvarez, Miguel Ángel Rodríguez-García, Soto Montalvo-Herranz, Raquel Martínez-Unanue:
URJC-Team at MEDDOPLACE 2023: Bi-LSTM and Transformers for Medical Document Place-Related Content Extraction.
Multilingual relation extraction of clinical measurements in clinical narratives (TESTLINK)
- Marius Micluta-Câmpeanu, Liviu Petrisor Dinu:
Simple Ideas@TESTLINK: RElying On FiNER Models. - Carlos Muñoz-Castro, Andrés Carvallo, Matías Rojas, Claudio Aracena, Rodrigo Guerra, Benjamín Pizarro, Jocelyn Dunstan:
LinkMed: Entity Recognition and Relation Extraction from Clinical Notes in Spanish. - Adrian Cuadrón, Aimar Sagasti, Ander Barrena, Aitziber Atutxa:
HiTZ Zentroa at TestLink IberLEF 2023.
Guarani-Spanish Code-Switching Analysis (GUA-SPA)
- Robert Pugh, Francis M. Tyers:
The ITML Submission to the IberLEF2023 Shared Task on Guarani-Spanish Code Switching Analysis. - Tommi Jauhiainen, Heidi Jauhiainen, Krister Lindén:
Tuning HeLI-OTS for Guarani-Spanish Code Switching Analysis. - Alberto Muñoz-Ortiz, David Vilares:
LyS A Coruña at GUA-SPA@IberLEF2023: Multi-Task Learning with Large Language Model Encoders for Guarani-Spanish Code Switching Analysis.
Early detection of mental disorders risk in Spanish (MentalRiskES)
- Chenghao Hu, Xiaobing Zhou:
Mental Disorders Detection with Immediate Message using RoBERTa. - Hermenegildo Fabregat, Andrés Duque, Lourdes Araujo, Juan Martínez-Romo:
NLP-UNED at MentalRiskES 2023: Approximate Nearest Neighbors for Identifying Health Disorders. - Alberto Fernández-Hernández, Raúl Moreno-Sánchez, José Viosca-Ros, Raquel Enrique-Guillén, Noa Patricia Cruz Díaz, Salud María Jiménez Zafra:
TextualTherapists at MentalRiskES-IberLEF2023: Early Detection of Depression using a User-level Feature-based Machine Learning Approach. - Horacio Thompson, Marcelo Errecalde:
Early Detection of Depression and Eating Disorders in Spanish: UNSL at MentalRiskES 2023. - Xabier Larrayoz, Nuria Lebeña, Arantza Casillas, Alicia Pérez:
Eating Disorders Detection by means of Deep Learning. - Pablo Turón, David Cabestany, Naiara Pérez, Montse Cuadros:
Text Classification For Early Detection of Eating Disorders and Depression in Spanish. - María de Jesús García-Santiago, Fernando Sánchez-Vega, Adrián Pastor López-Monroy:
Improving Transformer by Instance Packaging for Mental Illnesses Identification. - Rodrigo Guerra, Benjamín Pizarro, Carlos Muñoz-Castro, Andrés Carvallo, Matías Rojas, Claudio Aracena, Jocelyn Dunstan:
CMM PLN at MentalRiskES: A Traditional Machine Learning Approach for Detection of Eating Disorders and Depression in Chat Messages. - Ronghao Pan, José Antonio García-Díaz, Rafael Valencia-García:
UMUTeam at MentalRiskES2023@IberLEF: Transformer and Ensemble Learning Models for Early Detection of Eating Disorders and Depression. - Santiago González-Silot, Eugenio Martínez-Cámara, Luis Alfonso Ureña López:
SINAI at MentalRisk: Using Emotions for Detecting Depression. - Laura Vázquez Ramos, Carlos Moreno García, Jacinto Mata Vázquez, Victoria Pachón Álvarez:
I2C-UHU at MentalRiskES 2023: Detecting and Identifying Mental Disorder Risks in Social Media using Transformer-Based Models. - Irune Zubiaga, Raquel Justo:
SPIN at MentalRiskES 2023: Transformer-Based Model for Real-Life Depression Detection in Messaging Apps. - Miguel Rujas, Beatriz Merino-Barbancho, Peña Arroyo, Giuseppe Fico:
Development of a Natural Language Processing-Based System for Characterizing Eating Disorders. - Simon Sanchez Viloria, Daniel Peix del Río, Rubén Bermúdez Cabo, Guillermo Arturo Arrojo Fuentes, Isabel Segura-Bedmar:
A Framework for Identifying Depression on Social Media: MentalRiskES@IberLEF 2023. - Elizabeth Martinez, Juan Cuadrado, Daniel Peña, Juan Carlos Martínez Santos, Edwin Puertas:
Automated Depression Detection in Text Data: Leveraging Lexical Features, Phonesthemes Embedding, and RoBERTa Transformer Model. - Franklin Echeverría-Barú, Fernando Sánchez-Vega, Adrián Pastor López-Monroy:
CIMAT-NLP-GTO at MentalRiskES 2023: Early Detection of Mental Disorders in Spanish Messages using Style Based Models and BERT Models.
Multimodal Information for the Detection of Aggressive and Violent INCIdents from Social media in Spanish (DA-VINCIS)
- Esteban Ponce-León, Irvin Hussein López-Nava:
CICESE at DA-VINCIS 2023: Violent Events Detection in Twitter using Data Augmentation Techniques. - Daniel Vallejo Aldana, Adrián Pastor López-Monroy, Esaú Villatoro-Tello:
Enhancing Multi-modal Classification of Violent Events using Image Captioning. - Braulio Hernández-Minutti, Jesús Alejandro Olivares-Padilla, Ricardo Valerio-Carrera, Omar Juárez Gambino:
Detection of Violent Events in Social Media: DA-VINCIS 2023. - Mario Graff, Daniela Moctezuma, Eric Sadit Tellez, Sabino Miranda:
Ingeotec at DA-VINCIS: Bag-of-Words Classifiers. - Ramón Zataraín-Cabada, María Lucía Barrón-Estrada, Víctor Manuel Bátiz Beltrán, Ramón Alberto Camacho Sapien, Néstor Leyva López, Gerardo Ángel Beltrán Ruiz, Brandon Antonio Cárdenas-Sainz, Héctor Manuel Cárdenas-López:
DA-VINCIS at IberLEF 2023: Detecting Aggressive and Violent Incidents from Social Media in Spanish using Text Information. - Alberto José Gutiérrez-Megías, Sergiu Stoia, Fernando Martínez Santiago, Luis Alfonso Ureña López, Arturo Montejo-Ráez:
SINAI Participation at DA-VINCIS Task in IberLEF 2023: Data Augmentation for Multimodal Classification. - Jorge Luis Saavedra Rubio, Alejandro Valbuena Almeida, Isabel Segura-Bedmar:
UC3M at Da-Vincis-2023: using BETO for Detection of Aggressive and Violent Incidents on Social Networks.
Hate speech detection in Online Messages directed tOwards the MEXican spanish speaking LGBTQ+ population (HOMO-MEX)
- Moein Shahiki Tash, Jesús Armenta-Segura, Zahra Ahani, Olga Kolesnikova, Grigori Sidorov, Alexander F. Gelbukh:
LIDOMA at HOMO-MEX2023@IberLEF: Hate Speech Detection Towards the Mexican Spanish-Speaking LGBT+ Population. The Importance of Preprocessing Before Using BERT-Based Models. - Erika Rivadeneira-Pérez, María de Jesús García-Santiago, Cipriano Callejas-Hernández:
Machine Learning Techniques For Fine-grained Speech Detection Task. - Antonio José Morano Moriña, Javier Román Pásaro, Jacinto Mata Vázquez, Victoria Pachón Álvarez:
I2C-UHU at IberLEF-2023 HOMO-MEX task: Ensembling Transformers Models to Identify and Classify Hate Messages Towards the Community LGBTQ+. - Duván-Andrés Marrugo-Tobón, Juan Carlos Martínez Santos, Edwin Puertas:
Natural Language Content Evaluation System For Multiclass Detection of Hate Speech in Tweets Using Transformers. - Mesay Gemeda Yigezu, Olga Kolesnikova, Grigori Sidorov, Alexander F. Gelbukh:
Transformer-Based Hate Speech Detection for Multi-Class and Multi-Label Classification. - José Antonio García-Díaz, Salud María Jiménez Zafra, Rafael Valencia-García:
UMUTeam at HOMO-MEX 2023: Fine-tuning Large Language Models integration for solving hate-speech detection in Mexican Spanish. - Carlos Fernández Rosauro, Montse Cuadros:
Hate Speech Detection Against the Mexican Spanish LGBTQ+ Community Using BERT-based Transformers. - Cesar Macias, Miguel Soto, Tania Alcántara, Hiram Calvo:
Impact of Text Preprocessing and Feature Selection on Hate Speech Detection in Online Messages Towards the LGBTQ+ Community in Mexico.
Multilingual Hope Speech detection (HOPE)
- Juan Luis Domínguez-Olmedo, Jacinto Mata Vázquez, Victoria Pachón Álvarez:
I2C-Huelva at HOPE2023@IberLEF: Simple Use of Transformers for Automatic Hope Speech Detection. - Miguel Ángel Rodríguez-García, Adrián Riaño-Martínez, Soto Montalvo-Herranz:
URJC-Team at HOPE2023@IberLEF: Multilingual Hope Speech Detection Using Transformers Architecture. - Zahra Ahani, Grigori Sidorov, Olga Kolesnikova, Alexander F. Gelbukh:
Zavira at HOPE2023@IberLEF: Hope Speech Detection from Text using TF-IDF Features and Machine Learning Algorithms. - Moein Shahiki Tash, Jesús Armenta-Segura, Olga Kolesnikova, Grigori Sidorov, Alexander F. Gelbukh:
LIDOMA at HOPE2023@IberLEF: Hope Speech Detection Using Lexical Features and Convolutional Neural Networks. - Varsha Balaji, Aishwarya Kannan, Aishwarya Balaji, Bharathi Bhagavath Singh:
NLP_SSN_CSE at HOPE2023@IberLEF : Multilingual Hope Speech Detection using Machine Learning Algorithms. - Anh Ngo, Hanh Thi Hong Tran:
Zootopi at HOPE2023@IberLEF: Is Zero-Shot ChatGPT the Future of Hope Speech Detection? - Mesay Gemeda Yigezu, Girma Yohannis Bade, Olga Kolesnikova, Grigori Sidorov, Alexander F. Gelbukh:
Multilingual Hope Speech Detection using Machine Learning. - Ronghao Pan, Gema Alcaraz-Mármol, Francisco García-Sánchez:
UMUTeam at HOPE2023@IberLEF: Evaluation of Transformer Model with Data Augmentation for Multilingual Hope Speech Detection.
HUrtful HUmour - Detection of humour spreading prejudice on Twitter (HUHU)
- Jay Kaoshik, Sharmila Banu Kather:
Leveraging Ensemble Voting and Fine-Tuning Strategies in Pre-Trained Transformers to Detect Prejudicial Tweets and Hurtful Humour. - Pablo Sánchez García, Constantino Martínez de la Rosa:
Dimensionality Reduction Techniques to Detect Hurtful Humour. - Minna Peng, Nankai Lin:
Cross-task Interaction Mechanism for Humour Prejudice Detection. - Marcio Lima Inácio, Hugo Gonçalo Oliveira:
Attempting to Recognize Humor via One-Class Classification CISHUHUC@HUHU-IberLEF. - David Borregón Sacristán, Antonio Pérez Muñoz, Lucas Sebastián Peris:
Building Robust Models for Detecting Offensive Content and Quantifying Prejudice in Online Platforms. - Hugo Albert Bonet, Aina Magraner Rincón, Alba Martínez López:
Detection, Classification and Quantification of HUrtful HUmor (HUHU) on Twitter Using Classical Models, Ensemble Models, and Transformers. - María Carmen Aguirre-Delgado, Angel Eduardo Cadena-Bautista:
Using Vector Embeddings and Feature Vectors to Humor Identification. - Iván Árcos, Jaime Pérez:
Detecting HUrtful HUmour on Twitter using Fine-Tuned Transformers and 1D Convolutional Neural Networks. - Javier Cruz, Lucas Elvira, Miguel Tabernero, Isabel Segura-Bedmar:
In Unity, There Is Strength: On Weighted Voting Ensembles for Hurtful Humour Detection. - Ignacio Sastre, Alexis Baladón, Mauricio Berois, Fernanda Cánepa, Agustín Lucas, Santiago Castro, Santiago Góngora, Luis Chiruzzo:
RETUYT-InCo Submission at HUHU 2023: Detecting Humor and Prejudice through Supervised Methods. - José Antonio García-Díaz, Rafael Valencia-García:
UMUTeam at HUHU 2023: Detecting Prejudices in Humour Using Ensemble Learning and Knowledge Integration.
Automatic Detection Of Propaganda TechniquEs from Diplomats in Spanish (DIPROMATS)
- Albert Pritzkau:
Investigating Propaganda Considering the Discursive Context of Utterances. - 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. - Francisco Jáñez-Martino, Alberto Barrón-Cedeño:
UniLeon-UniBO at IberLEF 2023 Task DIPROMATS: RoBERTa-based Models to Climb Up the Propaganda Tree in English and Spanish. - Lin Tian, Xiuzhen Zhang, Maria Myung-Hee Kim, Jennifer Biggs:
Efficient Text-based Propaganda Detection via Language Model Cascades. - José Antonio García-Díaz, Rafael Valencia-García:
UMUTeam at Dipromats 2023: Propaganda Detection in Spanish and English Combining Linguistic Features with Contextual Sentence Embeddings. - Vicent Ahuir, Lluís-Felip Hurtado, Fernando García-Granada, Emilio Sanchis:
ELiRF-VRAIN at DIPROMATS 2023: Cross-lingual Data Augmentation for Propaganda Detection. - Francisco-Javier Rodrigo-Ginés, Jorge Carrillo-de-Albornoz, Laura Plaza:
Hierarchical Modeling for Propaganda Detection: Leveraging Media Bias and Propaganda Detection Datasets.
Political ideology detection in Spanish texts (PoliticES)
- Vicent Ahuir, Lluís-Felip Hurtado, Fernando García-Granada, Emilio Sanchis:
ELiRF-VRAIN at PoliticES-IberLEF2023: Dealing with Long Texts in Transformer-based Systems for User Profiling. - Joseba Fernandez de Landa, Rodrigo Agerri:
HiTZ-IXA at PoliticES-IberLEF2023: Document and Sentence Level Text Representations for Demographic Characteristics and Political Ideology Detection. - Ana-María Acosta-Pacheco, Diana-Paola De-La-Cruz-Sierra, Hannah Gu, José-Manuel Suárez-Bautista, Jorge Hernández-Espinoza, Mauricio-Gael Hernández-Lom, Luis-Ricardo Merino-Vázquez, Omar Juárez Gambino:
Participation of ESCOM's NLP Group at PoliticES-IberLEF2023: Voting Ensemble and Basic Machine Learning Methods Applied to Political Ideology. - Hiram Cabrera-Pineda, Eric Sadit Tellez, Sabino Miranda:
INFOTEC-LaBD at PoliticES-IberLEF2023: Explainable Non-Linear Low-Dimensional Projections. - Ronghao Pan, Camilo Caparrós-Laiz, Ángela Almela:
UMUTeam at PoliticES-IberLEF2023: Evaluating Transformers for Detecting Political Ideology in Spanish Texts. - Miguel Ángel Rodríguez-García:
URJC-Team at PoliticES-IberLEF2023: Political Ideology Detection Using Hybrid Architecture. - Pablo Emilio López-Ávila, Andrea Bethsabe García-Gutiérrez, Pedro Adair Gallegos-Ávila, Ramón Aranda, Miguel Ángel Álvarez-Carmona:
Dataverse at PoliticES-IberLEF2023. - Brandon Solo, Martha María Del Toro Carballo, Manuel Santiago Fernández-Arias, Isabel Segura-Bedmar:
UC3M at PoliticEs 2023: Applying The Basics.
Financial Targeted Sentiment Analysis in Spanish (FinancES)
- Jordi Porta Zamorano, Yanco Torterolo, Antonio Moreno-Sandoval:
LLI-UAM Team at FinancES 2023: Noise, Data Augmentation and Hallucinations. - Dang Van Thin, Nguyen Ba Dai, Duong Ngoc Hao, Ngan Luu-Thuy Nguyen:
ABCD Team at FinancES 2023: An Unified Generative Framework for the Financial Targeted Sentiment Analysis in Spanish. - Salud María Jiménez Zafra, Daniel García-Baena, Miguel Ángel García Cumbreras, Manuel García Vega:
SINAI at FinancES@IberLEF2023: Evaluating Popular Tools and Transformers Models for Financial Target Detection and Sentiment Analysis. - Juan Cuadrado, Elizabeth Martinez, Juan Carlos Martínez Santos, Edwin Puertas:
Team UTB-NLP at FinancES 2023: Financial Targeted Sentiment Analysis Using a Phonestheme Semantic Approach. - Miguel Ángel Rodríguez-García, Adrián Riaño-Martínez, David Roldán-Álvarez, Soto Montalvo-Herranz:
URJC-Team at FinancES 2023: Financial Targeted Sentiment Analysis in Spanish Combining Transformers. - María del Pilar Salas-Zárate, Mario Andrés Paredes-Valverde:
Team ITST at FinancES 2023: A Psycholinguistic-based Sentiment Analysis Approach.
Research on Sentiment Analysis Task for Mexican Tourist Texts (Rest-Mex 2023)
- Erika Rivadeneira-Pérez, Cipriano Callejas-Hernández:
Leveraging LDA Topic Modeling and BERT Embeddings for Thematic Unsupervised Classification of Tourism News in Rest-Mex Competition. - Javier Alonso Mencía:
Seeking Clustering Excellence: Unleashing the Power of Sentence Transformers and Preprocessing Techniques. - Julio Madera Quintana, Anibal Hernández-Gónzalez, Yoan Martínez-López:
Thematic Unsupervised Classification of Tourist Texts using Latent Semantic Analysis and K-Means. - Jorge Ramos-Zavaleta, Adrian Rodríguez, Lizbeth Rodríguez, Jean Arreola-Trapala:
An Ensemble Based Clustering Approach to Group Mexican News. - Federico Sandoval:
What if We Use Fewer Data to Classify Tourist Opinions in Spanish? - Nora Gabriela Carmona-Sánchez:
Measuring the Role of the Verbs, Nouns, and Adjectives on the Tourist Opinions in Spanish. - Lisette Guadalupe Castorena-Salas, Fernando Sánchez-Vega, Adrián Pastor López-Monroy:
BUAA's team in Rest-Mex 2023 - Sentiment Analysis: A Basic and Efficient Stylistic and Thematic Features Approach. - Andrea Bethsabe García-Gutiérrez, Pablo Emilio López-Ávila, Pedro Adair Gallegos-Ávila, Ramón Aranda, Miguel Ángel Álvarez-Carmona:
Balancing of Tourist Opinions for Sentiment Analysis Task. - Eric Yaven Baez-Reyes, Isaac Barrón-Jiménez, Héctor Becerril-Pizarro, Ximena de la Luz Contreras-Mendoza, Iván Vladimir Meza Ruíz:
IIMAS-UNAM Team entry: Transformers Adapters for the Sentiment Analysis REST-MEX 2023. - Mario Graff, Daniela Moctezuma, Eric Sadit Tellez, Sabino Miranda:
Ingeotec at Rest-Mex: Bag-of-Words Classifiers. - José de Jesús Ceballos-Mejía, Martha Angélica Parra-Urías, Miguel Ángel Álvarez-Carmona:
Filtering opinions in Spanish with Topics of Tourist Interest for the Sentiment Analysis Task. - Javier Alonso Mencía:
Unlocking Sentiments: Exploring the Power of NLP Transformers in Review Analysis. - Juan-Luis García-Mendoza, Davide Buscaldi:
Enriching with Minority Instances a Corpus of Sentiment Analysis in Spanish. - Victor Giovanni Morales Murillo, Helena Gómez-Adorno, David Pinto, Ilyan Alexey Cortés-Miranda, Pierre Delice:
LKE-IIMAS team at Rest-Mex 2023: Sentiment Analysis on Mexican Tourism Reviews using Transformer-Based Domain Adaptation. - Olga Kellert, Md. Mahmud Uz Zaman, Nicholas Hill Matlis, Carlos Gómez-Rodríguez:
Experimenting with UD Adaptation of an Unsupervised Rule-based Approach for Sentiment Analysis of Mexican Tourist Texts. - Juan David Jurado-Buch, Ever Sebastian Minayo-Díaz, Jhony Alexander Tello, Kaily Estefanía Chaucanes, Laura Valentina Salazar, Mauricio Daniel Oquendo-Coral, Miguel Ángel Álvarez-Carmona:
A Single Model Based on Beto to Classify Spanish Tourist Opinions Through the Random Instances Selection. - Alvaro Zaid Gallardo-Hernández, Ramón Aranda, Ángel Díaz-Pacheco:
Classifying Tourist Text Reviews by Means of Mutual Information Features. - Pedro Mirabal, Suilen Hernández Alvarado, José Ignacio Abreu Salas:
Analyzing Sentiment, Attraction Type, and Country in Spanish Language TripAdvisor Reviews Using Language Models. - Jaime Cerda-Flores, Rodrigo Hernández-Mazariegos, Jesus Ortiz-Bejar, Félix Calderón-Solorio, José Ortiz-Bejar:
UMSNH at RestMex 2023: An XGBoost Stacking with Pre-Trained Word-Embeddings over Data Batches.
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