| Vol-3496 urn:nbn:de:0074-3496-6 Copyright © 2023 for the individual papers by the papers' authors. Copyright © 2023 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# IberLEF 2023
Iberian Languages Evaluation Forum 2023

### 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.

Edited by

### 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 *********

* Instituto Nacional de Astrofísica, Óptica y Electrónica, Mexico
** Symanto Research, Valencia, Spain
*** Computer Science Department, SINAI, CEATIC, Universidad de Jaén, Spain
**** HiTZ Center - Ixa, University of the Basque Country UPV/EHU, Spain
***** Centro de Investigación en Matemáticas, Mexico
****** Instituto de Ingeniería, UNAM, Mexico
******* Universidad de la República, Montevideo, Uruguay
******** HiTZ Basque Center for Language Technology (UPV/EHU), Spain
********* Facultad de Informática, Universidad de Murcia, Spain
********** PRHLT Research Center, Universitat Politècnica de València, Spain
*********** Barcelona Supercomputing Center, Spain
************ Universidad Nacional de Educación a Distancia, Spain
************* Bocconi University, Italy

## Table of Contents

- Preface
  Summary: There were 123 papers submitted for the 14 shared tasks. All 123 submissions were accepted. These papers describe the participation of around 211 research groups from 35 countries, in 14 different NLP tasks.

- Organization

- IberLEF 2023 Overview: Natural Language Processing for Iberian Languages
  Salud María Jiménez Zafra, Manuel Montes-y-Gómez, Francisco Rangel

## AUTOMATICALLY GENERATED TEXTS IDENTIFICATION

### Automated Text Identification Shared Task (AuTexTification)

- Automated Text Identification Using CNN and Training Dynamics
  Claudiu Creanga, Liviu Petrisor Dinu
- Do Origin and Facts Identify Automatically Generated Text?
  Judita Preiss, Monica Lestari Paramita
- Syntax-based Contrastive Learning for Automated Text Identification
  Hongyan Wu, Nankai Lin, Shengyi Jiang
- A Method for Identifying Bot Generated Text : Notebook for IberLEF 2023
  Maryam Elamine, Asma Mekki, Lamia Hadrich Belguith
- Artificial Intelligence-Based Text Classification: Separating Human Writing from Computer Generated Writing
  Luis Enrique Morales-Márquez, Erick Barrios-González, David Eduardo Pinto-Avendaño
- SINAI at AuTexTification in IberLEF 2023: Combining All Layer Embeddings for Automatically Generated Texts.
  César Espin-Riofrio, Jenny Ortiz-Zambrano, Arturo Montejo-Ráez
- I’ve Seen Things You Machines Wouldn’t Believe: Measuring Content Predictability to Identify Automatically-Generated Text
  Piotr Przybyła, Nicolau Duran-Silva, Santiago Egea-Gómez
- Detecting Generated Text and Attributing Language Model Source with Fine-tuned Models and Semantic Understanding
  Margherita Gambini, Marco Avvenuti, Fabrizio Falchi, Maurizio Tesconi, Tiziano Fagni
- AI-Writing Detection Using an Ensemble of Transformers and Stylometric Features
  George Mikros, Athanasios Koursaris, Dimitrios Bilianos, George Markopoulos
- Exploring Text Representations for Detecting Automatically Generated Text
  Zayra Villegas-Trejo, Helena Gómez-Adorno, Sergio-Luis Ojeda-Trueba
- GPT-2 versus GPT-3 and Bloom: LLMs for LLMs Generative Text Detection
  Fernando Aguilar-Canto, Marco Cardoso-Moreno, Diana Jiménez, Hiram Calvo
- Taming the Turing Test: Exploring Machine Learning Approaches to Discriminate Human vs. AI-Generated Texts
  Alberto Fernández-Hernández, Juan Luis Arboledas-Márquez, Julián Ariza-Merino, Salud María Jiménez-Zafra
- Team GPLSI at AuTexTification Shared Task: Determining the Authorship of a Text
  Iván Martínez-Murillo, Robiert Sepúlveda-Torres, Estela Saquete, Elena LLoret, Manuel Palomar
- Generative AI Text Classification using Ensemble LLM Approaches
  Harika Abburi, Michael Suesserman, Nirmala Pudota, Balaji Veeramani, Edward Bowen, Sanmitra Bhattacharya
- Automated Text Identification: Multilingual Transformer-based Models Approach
  German Gritsay, Andrey Grabovoy, Aleksandr Kildyakov, Yury Chekhovich
- IberLEF 2023 AuTexTification: Automated Text Identification Shared Task – Team OD-21
  Rinaldo Gagiano, Haytham Fayek, Maria Myung-Hee Kim, Jennifer Biggs, Xiuzhen Zhang
- Using Linguistic Knowledge for Automated Text Identification
  Lara Alonso Simón, José Antonio Gonzalo Gimeno, Ana María Fernández-Pampillón Cesteros, Marianela Fernández Trinidad, María Victoria Escandell Vidal
- Univ. of Hildesheim at AuTexTification 2023: Detection of Automatically Generated Texts
  Tatjana Scheibe, Thomas Mandl
- UPB at IberLEF-2023 AuTexTification: Detection of Machine-Generated Text using Transformer Ensembles
  Andrei-Alexandru Preda, Dumitru-Clementin Cercel, Traian Rebedea, Costin-Gabriel Chiru
- Exploring the Distinction: Investigating the Recognition of Automatic Text Generation Systems and Differentiating Human Text from Language Models
  Manex Agirrezabal

## CLINICAL CONTENT

### Automatic identification of sections in clinical documents (ClinAIS)

- ELiRF at ClinAIS Task: Automatic Identification of Sections in Clinical Documents
  Pere Marco, Maria Jose Castro-Bleda, Encarna Segarra, Lluis Felip Hurtado
- LSI_UNED at ClinAIS 2023: Transformer Models for Section Identification in Spanish Medical Reports
  Andres Duque, Lourdes Araujo, Juan Martinez-Romo, Hermenegildo Fabregat
- Two-stage Fine-Tuning for Automatic Identification of Sections in Clinical Documents
  Jónathan Heras
- Automatic Segmentation of Clinical Narratives in Sections with Pre-Trained Clinical Transformer Models
  Mariia Chizhikova, Manuel Carlos Díaz-Galiano, Luis Alfonso Ureña-López, María Teresa Martín Valdivia
- Automatic Section Classification in Spanish Clinical Narratives Using Chunked Named Entity Recognition.
  Andrés Carvallo, Matías Rojas, Carlos Muñoz-Castro, Claudio Aracena, Rodrigo Guerra, Benjamín Pizarro, Jocelyn Dunstan

### MEDical DOcument PLAcerelated Content Extraction (MEDDOPLACE)

- SINAI@MEDDOPLACE: Detecting, Normalizing, and Classifying Places and Related Information in Spanish Medical Texts
  Mariia Chizhikova, Jaime Collado Montañez, Manuel Carlos Díaz-Galiano, Luis Alfonso Ureña-López, María Teresa Martín Valdivia
- URJC-Team at MEDDOPLACE 2023: Bi-LSTM and Transformers for Medical Document Place-Related Content Extraction
  David Roldán-Álvarez, Miguel Ángel Rodríguez-García, Soto Montalvo-Herranz, Raquel Martínez-Unanue

### Multilingual relation extraction of clinical measurements in clinical narratives (TESTLINK)

- Simple Ideas@TESTLINK: RElying On FiNER Models
  Marius Micluța-Câmpeanu, Liviu Petrișor Dinu
- LinkMed: Entity Recognition and Relation Extraction from Clinical Notes in Spanish
  Carlos Muñoz-Castro, Andrés Carvallo, Matías Rojas, Claudio Aracena, Rodrigo Guerra, Benjamín Pizarro, Jocelyn Dunstan
- HiTZ Zentroa at TestLink IberLEF 2023
  Adrian Cuadrón, Aimar Sagasti, Ander Barrena, Aitziber Atutxa

## CODE SWITCH ANALYSIS

### Guarani-Spanish Code-Switching Analysis (GUA-SPA)

- The ITML Submission to the IberLEF2023 Shared Task on Guarani-Spanish Code Switching Analysis
  Robert Pugh, Francis Tyers
- Tuning HeLI-OTS for Guarani-Spanish Code Switching Analysis
  Tommi Jauhiainen, Heidi Jauhiainen, Krister Lindén
- LyS A Coruña at GUA-SPA@IberLEF2023: Multi-Task Learning with Large Language Model Encoders for Guarani-Spanish Code Switching Analysis
  Alberto Muñoz-Ortiz, David Vilares

## EARLY RISK PREDICTION ON THE INTERNET

### Early detection of mental disorders risk in Spanish (MentalRiskES)

- Mental Disorders Detection with Immediate Message using RoBERTa
  Chenghao Hu, Xiaobing Zhou
- NLP-UNED at MentalRiskES 2023: Approximate Nearest Neighbors for Identifying Health Disorders
  Hermenegildo Fabregat, Andres Duque, Lourdes Araujo, Juan Martinez-Romo
- TextualTherapists at MentalRiskES-IberLEF2023: Early Detection of Depression using a User-level Feature-based Machine Learning Approach
  Alberto Fernández-Hernández, Raúl Moreno-Sánchez, José Viosca-Ros, Raquel Enrique-Guillén, Noa Patricia Cruz-Díaz, Salud María Jiménez-Zafra
- Early Detection of Depression and Eating Disorders in Spanish: UNSL at MentalRiskES 2023
  Horacio Thompson, Marcelo Errecalde
- Eating Disorders Detection by means of Deep Learning
  Xabier Larrayoz, Nuria Lebeña, Arantza Casillas, Alicia Pérez
- Text Classification For Early Detection of Eating Disorders and Depression in Spanish
  Pablo Turón, David Cabestany, Naiara Pérez, Montse Cuadros
- Improving Transformer by Instance Packaging for Mental Illnesses Identification
  María de-Jesús-García-Santiago, Fernando Sánchez-Vega, Adrián Pastor López-Monroy
- CMM PLN at MentalRiskES: A Traditional Machine Learning Approach for Detection of Eating Disorders and Depression in Chat Messages
  Rodrigo Guerra, Benjamín Pizarro, Carlos Muñoz-Castro, Andrés Carvallo, Matías Rojas, Claudio Aracena, Jocelyn Dunstan
- UMUTeam at MentalRiskES2023@IberLEF: Transformer and Ensemble Learning Models for Early Detection of Eating Disorders and Depression
  Ronghao Pan, José Antonio García-Díaz, Rafael Valencia-García
- SINAI at MentalRisk: Using Emotions for Detecting Depression
  Santiago González-Silot, Eugenio Martínez-Cámara, Luis Alfonso Ureña-López
- I2C-UHU at MentalRiskES 2023: Detecting and Identifying Mental Disorder Risks in Social Media using Transformer-Based Models
  Laura Vázquez Ramos, Carlos Moreno García, Jacinto Mata Vázquez, Victoria Pachón Álvarez
- SPIN at MentalRiskES 2023: Transformer-Based Model for Real-Life Depression Detection in Messaging Apps
  Irune Zubiaga, Raquel Justo
- Development of a Natural Language Processing-Based System for Characterizing Eating Disorders
  Miguel Rujas, Beatriz Merino-Barbancho, Peña Arroyo, Giuseppe Fico
- A Framework for Identifying Depression on Social Media: MentalRiskES@IberLEF 2023
  Simón Sánchez Viloria, Daniel Peix del Río, Rubén Bermúdez Cabo, Guillermo Arturo Arrojo Fuentes, Isabel Segura-Bedmar
- Automated Depression Detection in Text Data: Leveraging Lexical Features, Phonesthemes Embedding, and RoBERTa Transformer Model
  Elizabeth Martinez, Juan Cuadrado, Daniel Peña, Juan Carlos Martinez-Santos, Edwin Puertas
- 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

## HARMFUL AND INCLUSIVE CONTENT

### Multimodal Information for the Detection of Aggressive and Violent INCIdents from Social media in Spanish (DA-VINCIS)

- CICESE at DA-VINCIS 2023: Violent Events Detection in Twitter using Data Augmentation Techniques
  Esteban Ponce-León, Irvin Hussein López-Nava
- Enhancing Multi-modal Classification of Violent Events using Image Captioning
  Daniel Vallejo-Aldana, Adrián Pastor López-Monroy, Esaú Villatoro-Tello
- Detection of Violent Events in Social Media: DA-VINCIS 2023
  Braulio Hernández-Minutti, Jesus-Alejandro Olivares-Padilla, Ricardo Valerio-Carrera, Omar Juárez Gambino
- Ingeotec at DA-VINCIS: Bag-of-Words Classifiers
  Mario Graff, Daniela Moctezuma, Eric Tellez, Sabino Miranda
- DA-VINCIS at IberLEF 2023: Detecting Aggressive and Violent Incidents from Social Media in Spanish using Text Information
  Ramón Zatarain 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
- SINAI Participation at DA-VINCIS Task in IberLEF 2023: Data Augmentation for Multimodal Classification
  Alberto José Gutiérrez-Megías, Sergiu Stoia, Fernando Martínez-Santiago, Luis Alfonso Ureña-López, Arturo Montejo-Ráez
- UC3M at Da-Vincis-2023: using BETO for Detection of Aggressive and Violent Incidents on Social Networks
  Jorge Luis Saavedra Rubio, Alejandro Valbuena Almeida, Isabel Segura-Bedmar

### Hate speech detection in Online Messages directed tOwards the MEXican spanish speaking LGBTQ+ population (HOMO-MEX)

- LIDOMA at HOMO-MEX2023@IberLEF: Hate Speech Detection Towards the Mexican Spanish-Speaking LGBT+ Population. The Importance of Preprocessing Before Using BERT-Based Models
  Moein Shahiki-Tash, Jesús Armenta-Segura, Zahra Ahani, Olga Kolesnikova, Grigori Sidorov, Alexander Gelbukh
- CIMAT-NLP at HOMO-MEX2023@IBERLEF: Machine Learning Techniques For Fine-grained Speech Detection Task
  Erika Rivadeneira-Pérez, María de Jesús García-Santiago, Cipriano Callejas-Hernández
- I2C-UHU at IberLEF-2023 HOMO-MEX task: Ensembling Transformers Models to Identify and Classify Hate Messages Towards the Community LGBTQ+
  Antonio José Morano Moriña, Javier Román Pásaro, Jacinto Mata Vázquez, Victoria Pachón Álvarez
- Natural Language Content Evaluation System For Multiclass Detection of Hate Speech in Tweets Using Transformers
  Duván-Andrés Marrugo-Tobón, Juan-Carlos Martinez-Santos, Edwin Puertas
- Transformer-Based Hate Speech Detection for Multi-Class and Multi-Label Classification
  Mesay Gemeda Yigezu, Olga Kolesnikova, Grigori Sidorov, Alexander Gelbukh
- UMUTeam at HOMO-MEX 2023: Fine-tuning Large Language Models integration for solving hate-speech detection in Mexican Spanish
  José Antonio García-Díaz, Salud María Jiménez-Zafra, Rafael Valencia-García
- Hate Speech Detection Against the Mexican Spanish LGBTQ+ Community Using BERT-based Transformers
  Carlos Fernández Rosauro, Montse Cuadros
- Impact of Text Preprocessing and Feature Selection on Hate Speech Detection in Online Messages Towards the LGBTQ+ Community in Mexico
  Cesar Macias, Miguel Soto, Tania Alcántara, Hiram Calvo

### Multilingual Hope Speech detection (HOPE)

- I2C-Huelva at HOPE2023@IberLEF: Simple Use of Transformers for Automatic Hope Speech Detection
  Juan Luis Domínguez Olmedo, Jacinto Mata Vázquez, Victoria Pachón Álvarez
- URJC-Team at HOPE2023@IberLEF: Multilingual Hope Speech Detection Using Transformers Architecture
  Miguel Ángel Rodríguez-García, Adrián Riaño-Martínez, Soto Montalvo Herranz
- Zavira at HOPE2023@IberLEF: Hope Speech Detection from Text using TF-IDF Features and Machine Learning Algorithms
  Zahra Ahani, Grigori Sidorov, Olga Kolesnikova, Alexander Gelbukh
- LIDOMA at HOPE2023@IberLEF: Hope Speech Detection Using Lexical Features and Convolutional Neural Networks
  Moein Shahiki-Tash, Jesús Armenta-Segura, Olga Kolesnikova, Grigori Sidorov, Alexander Gelbukh
- NLP_SSN_CSE at HOPE2023@IberLEF : Multilingual Hope Speech Detection using Machine Learning Algorithms
  Varsha Balaji, Aishwarya Kannan, Aishwarya Balaji, Bharathi Bhagavath Singh
- Zootopi at HOPE2023@IberLEF: Is Zero-Shot ChatGPT the Future of Hope Speech Detection?
  Anh Ngo, Hanh Thi Hong Tran
- Multilingual Hope Speech Detection using Machine Learning
  Mesay Gemeda Yigezu, Girma Yohannis Bade, Olga Kolesnikova, Grigori Sidorov, Alexander Gelbukh
- UMUTeam at HOPE2023@IberLEF: Evaluation of Transformer Model with Data Augmentation for Multilingual Hope Speech Detection
  Ronghao Pan, Gema Alcaraz-Mármol, Francisco García-Sánchez

### HUrtful HUmour - Detection of humour spreading prejudice on Twitter (HUHU)

- Leveraging Ensemble Voting and Fine-Tuning Strategies in Pre-Trained Transformers to Detect Prejudicial Tweets and Hurtful Humour
  Jay Kaoshik, Sharmila Banu Kather
- Dimensionality Reduction Techniques to Detect Hurtful Humour
  Pablo Sánchez García, Constantino Martínez de la Rosa
- Cross-task Interaction Mechanism for Humour Prejudice Detection
  Minna Peng, Nankai Lin
- Attempting to Recognize Humor via One-Class Classification CISHUHUC@HUHU-IberLEF
  Marcio Lima Inácio, Hugo Gonçalo Oliveira
- Building Robust Models for Detecting Offensive Content and Quantifying Prejudice in Online Platforms
  David Borregón Sacristán, Antonio Pérez Muñoz, Lucas Sebastián Peris
- Detection, Classification and Quantification of HUrtful HUmor (HUHU) on Twitter Using Classical Models, Ensemble Models, and Transformers
  Hugo Albert Bonet, Aina Magraner Rincón, Alba Martínez López
- Using Vector Embeddings and Feature Vectors to Humor Identification
  María Carmen Aguirre-Delgado, Angel Eduardo Cadena-Bautista
- Detecting HUrtful HUmour on Twitter using Fine-Tuned Transformers and 1D Convolutional Neural Networks
  Iván Árcos, Jaime Pérez
- In Unity, There Is Strength: On Weighted Voting Ensembles for Hurtful Humour Detection
  Javier Cruz, Lucas Elvira, Miguel Tabernero, Isabel Segura-Bedmar
- RETUYT-InCo Submission at HUHU 2023: Detecting Humor and Prejudice through Supervised Methods
  Ignacio Sastre, Alexis Baladón, Mauricio Berois, Fernanda Cánepa, Agustín Lucas, Santiago Castro, Santiago Góngora, Luis Chiruzzo
- UMUTeam at HUHU 2023: Detecting Prejudices in Humour Using Ensemble Learning and Knowledge Integration
  José Antonio García-Díaz, Rafael Valencia-García

## POLITICAL IDEOLOGY AND PROPAGANDA

### Automatic Detection Of Propaganda TechniquEs from Diplomats in Spanish (DIPROMATS)

- Investigating Propaganda Considering the Discursive Context of Utterances
  Albert Pritzkau
- PropaLTL at DIPROMATS: Incorporating Contextual Features with BERT’s Auxiliary Input for Propaganda Detection on Tweets
  Marco Casavantes, Manuel Montes-y-Gómez, Delia Irazú Hernández-Farías, Luis Carlos González, Alberto Barrón-Cedeño
- UniLeon-UniBO at IberLEF 2023 Task DIPROMATS: RoBERTa-based Models to Climb Up the Propaganda Tree in English and Spanish
  Francisco Jáñez-Martino, Alberto Barrón-Cedeño
- Efficient Text-based Propaganda Detection via Language Model Cascades
  Lin Tian, Xiuzhen Zhang, Maria Myung-Hee Kim, Jennifer Biggs
- UMUTeam at Dipromats 2023: Propaganda Detection in Spanish and English Combining Linguistic Features with Contextual Sentence Embeddings
  José Antonio García-Díaz, Rafael Valencia-García
- ELiRF-VRAIN at DIPROMATS 2023: Cross-lingual Data Augmentation for Propaganda Detection
  Vicent Ahuir, Lluís Felip Hurtado, Fernando García-Granada, Emilio Sanchis
- Hierarchical Modeling for Propaganda Detection: Leveraging Media Bias and Propaganda Detection Datasets
  Francisco-Javier Rodrigo-Ginés, Jorge Carrillo-de-Albornoz, Laura Plaza

### Political ideology detection in Spanish texts (PoliticES)

- ELiRF-VRAIN at PoliticES-IberLEF2023: Dealing with Long Texts in Transformer-based Systems for User Profiling
  Vicent Ahuir, Lluís Felip Hurtado, Fernando García-Granada, Emilio Sanchis
- HiTZ-IXA at PoliticES-IberLEF2023: Document and Sentence Level Text Representations for Demographic Characteristics and Political Ideology Detection
  Joseba Fernandez de Landa, Rodrigo Agerri
- Participation of ESCOM’s NLP Group at PoliticES-IberLEF2023: Voting Ensemble and Basic Machine Learning Methods Applied to Political Ideology
  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
- INFOTEC-LaBD at PoliticES-IberLEF2023: Explainable Non-Linear Low-Dimensional Projections
  Hiram Cabrera-Pineda, Eric Sadit Tellez, Sabino Miranda
- UMUTeam at PoliticES-IberLEF2023: Evaluating Transformers for Detecting Political Ideology in Spanish Texts
  Ronghao Pan, Camilo Caparrós-Laiz, Ángela Almela
- URJC-Team at PoliticES-IberLEF2023: Political Ideology Detection Using Hybrid Architecture
  Miguel Ángel Rodríguez-García
- Dataverse at PoliticES-IberLEF2023
  Pablo Emilio López-Ávila, Andrea Bethsabe García-Gutiérrez, Pedro Adair Gallegos-Ávila, Ramón Aranda, Miguel Ángel Álvarez-Carmona
- UC3M at PoliticEs 2023: Applying The Basics
  Brandon Solo, Martha María Del Toro Carballo, Manuel Santiago Fernández Arias, Isabel Segura Bedmar

## SENTIMENT, STANCE AND OPINIONS

### Financial Targeted Sentiment Analysis in Spanish (FinancES)

- LLI-UAM Team at FinancES 2023: Noise, Data Augmentation and Hallucinations
  Jordi Porta-Zamorano, Yanco Torterolo, Antonio Moreno-Sandoval
- ABCD Team at FinancES 2023: An Unified Generative Framework for the Financial Targeted Sentiment Analysis in Spanish
  Dang Van Thin, Dai Nguyen Ba, Duong Ngoc Hao, Ngan Luu-Thuy Nguyen
- SINAI at FinancES@IberLEF2023: Evaluating Popular Tools and Transformers Models for Financial Target Detection and Sentiment Analysis
  Salud María Jiménez-Zafra, Daniel García-Baena, Miguel Ángel García-Cumbreras, Manuel García-Vega
- Team UTB-NLP at FinancES 2023: Financial Targeted Sentiment Analysis Using a Phonestheme Semantic Approach
  Juan Cuadrado, Elizabeth Martinez, Juan Carlos Martinez-Santos, Edwin Puertas
- URJC-Team at FinancES 2023: Financial Targeted Sentiment Analysis in Spanish Combining Transformers
  Miguel Ángel Rodríguez-García, Adrián Riaño-Martínez, David Roldán-Álvarez, Soto Montalvo-Herranz
- Team ITST at FinancES 2023: A Psycholinguistic-based Sentiment Analysis Approach
  María del Pilar Salas-Zárate, Mario Andrés Paredes-Valverde

### Research on Sentiment Analysis Task for Mexican Tourist Texts (Rest-Mex 2023)

- Leveraging LDA Topic Modeling and BERT Embeddings for Thematic Unsupervised Classification of Tourism News in Rest-Mex Competition
  Erika Rivadeneira-Pérez, Cipriano Callejas-Hernández
- Seeking Clustering Excellence: Unleashing the Power of Sentence Transformers and Preprocessing Techniques
  Javier Alonso-Mencía
- Thematic Unsupervised Classification of Tourist Texts using Latent Semantic Analysis and K-Means
  Julio Madera-Quintana, Anibal Hernández-Gónzalez, Yoan Martínez-López
- An Ensemble Based Clustering Approach to Group Mexican News
  Jorge Ramos-Zavaleta, Adrian Rodríguez, Lizbeth Rodríguez, Jean Arreola
- What if We Use Fewer Data to Classify Tourist Opinions in Spanish?
  Federico Sandoval
- Measuring the Role of the Verbs, Nouns, and Adjectives on the Tourist Opinions in Spanish
  Nora Gabriela Carmona-Sánchez
- 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
- Balancing of Tourist Opinions for Sentiment Analysis Task
  Andrea Bethsabe García-Gutiérrez, Pablo Emilio López-Ávila, Pedro Adair Gallegos-Ávila, Ramón Aranda, Miguel Ángel Álvarez-Carmona
- IIMAS-UNAM Team entry: Transformers Adapters for the Sentiment Analysis REST-MEX 2023
  Eric Yaven Baez-Reyes, Isaac Barrón-Jiménez, Héctor Becerril-Pizarro, Ximena de la Luz Contreras-Mendoza, Ivan Vladimir Meza-Ruiz
- Ingeotec at Rest-Mex: Bag-of-Words Classifiers
  Mario Graff, Daniela Moctezuma, Eric Tellez, Sabino Miranda
- Filtering opinions in Spanish with Topics of Tourist Interest for the Sentiment Analysis Task
  José de Jesús Ceballos-Mejía, Martha Angélica Parra-Urías, Miguel Ángel Álvarez-Carmona
- Unlocking Sentiments: Exploring the Power of NLP Transformers in Review Analysis
  Javier Alonso-Mencía
- Enriching with Minority Instances a Corpus of Sentiment Analysis in Spanish
  Juan-Luis García-Mendoza, Davide Buscaldi
- LKE-IIMAS team at Rest-Mex 2023: Sentiment Analysis on Mexican Tourism Reviews using Transformer-Based Domain Adaptation
  Victor Giovanni Morales-Murillo, Helena Gómez-Adorno, David Pinto, Ilyan Alexey Cortés-Miranda, Pierre Delice
- Experimenting with UD Adaptation of an Unsupervised Rule-based Approach for Sentiment Analysis of Mexican Tourist Texts
  Olga Kellert, Mahmud Uz Zaman, Nicholas Hill Matlis, Carlos Gómez-Rodríguez
- A Single Model Based on Beto to Classify Spanish Tourist Opinions Through the Random Instances Selection
  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
- Classifying Tourist Text Reviews by Means of Mutual Information Features
  Alvaro Zaid Gallardo-Hernández, Ramón Aranda, Angel Diaz-Pacheco
- Analyzing Sentiment, Attraction Type, and Country in Spanish Language TripAdvisor Reviews Using Language Models
  Pedro Mirabal, Suilen Hernández-Alvarado, José Ignacio Abreu Salas
- UMSNH at RestMex 2023: An XGBoost Stacking with Pre-Trained Word-Embeddings over Data Batches
  Jaime Cerda-Flores, Rodrigo Hernández-Mazariegos, Jesús Ortiz-Bejar, Félix Calderón-Solorio, José Ortiz-Bejar

2023-09-08: submitted by Manuel Montes, metadata incl. bibliographic data published under Creative Commons CC0
2023-10-03: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|