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IberLEF@SEPLN 2024: Valladolid, Spain
- Salud María Jiménez-Zafra, Luis Chiruzzo, Francisco Rangel, Fazlourrahman Balouchzahi, Ulisses Brisolara Corrêa, Alba Bonet-Jover, Helena Gómez-Adorno, José Ángel González Barba, Delia Irazú Hernández Farías, Arturo Montejo-Ráez, Pablo Moral, Carlos Rodríguez Abellán, María Estrella Vallecillo Rodríguez, Mariona Taulé, Rafael Valencia-García:
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2024) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2024), Valladolid, Spain, September 24, 2024. CEUR Workshop Proceedings 3756, CEUR-WS.org 2024 - Luis Chiruzzo, Salud María Jiménez-Zafra, Francisco Rangel:
Overview of IberLEF 2024: Natural Language Processing Challenges for Spanish and other Iberian Languages.
Automated Text Identification on Languages of the Iberian Peninsula Shared Task (Iber AuTexTification)
- César Espin-Riofrio, Jenny Ortiz-Zambrano, Arturo Montejo-Ráez:
SINAI at IberAuTexTification in IberLEF 2024: Perplexity Metrics and Text Features for Classifying Automatically Generated Text. - Mohammad Karami Sheykhlan, Saleh Kheiri Abdoljabbar, Mona Nouri Mahmoudabad:
KaramiTeam at IberAuTexTification: Soft Voting Ensemble for Distinguishing AI-Generated Texts. - Mingcan Guo, Zhongyuan Han, Xintian Wang, Jiangao Peng:
Multidimensional Text Feature Analysis: Unveiling the Veil of Automatically Generated Text. - Jorge Fernández García, Isabel Segura-Bedmar:
Human After All: Using Transformer Based Models to Identify Automatically Generated Text. - Héctor Cerezo-Costas, Pedro Alonso Doval, Maximiliano Hormazábal-Lagos, Aldan Creo:
Telescope: Discovering Multilingual LLM Generated Texts with Small Specialized Language Models. - German Gritsai, Andrey Grabovoy:
Automated Text Identification on Languages of the Iberian Peninsula: LLM and BERT-based Models Aggregation. - Andric Valdez-Valenzuela, Ricardo Loth Zavala-Reyes, Victor Giovanni Morales Murillo, Helena Gómez-Adorno:
The iimasNLP team at IberAuTexTification 2024: Integrating Graph Neural Networks, Multilingual LLMs, and Stylometry for Automatic Text Identification.
NER in Genomic Variants and related Diseases in Spanish (GenoVarDis)
- Ander Martinez:
FRE at GenoVarDis: A sane approach to Disease and Genomic Variant NER. - Víctor Manuel Oliveros:
GenoVarDis@IberLEF2024: Automatic Genomic Variants and Related Diseases using Named Entity Recognition with Large Language Models. - Pere Marco Garcia, Encarna Segarra, Lluís-Felip Hurtado:
ELiRF at GenoVarDis Task: NER in Genomic Variants and related Diseases. - Milindi Kodikara, Karin Verspoor:
Effectiveness of Cross-linguistic Extraction of Genetic Information using Generative Large Language Models. - Orlando Ramos Flores, Helena Gómez-Adorno, Edgardo Galán-Vásquez:
IIMASnlp at GenoVarDis Task: Exploring Zero-shot and CRF Approaches to NER Task in Genomic Variants and Related Diseases. - Ana Laura Lezama Sánchez, Mireya Tovar Vidal:
Named Entity Recognition in Scientific Texts Using Long Short-Term Memory Networks.
Automatic Generation of Counter Speech in Spanish (RefutES)
- Irune Zubiaga, Aitor Soroa, Rodrigo Agerri:
Ixa at RefutES 2024: Leveraging Language Models for Counter Narrative Generation.
Early detection of mental disorders risk in Spanish (MentalRiskES)
- Xabier Larrayoz, Arantza Casillas, Maite Oronoz, Alicia Pérez:
Mental Disorder Detection in Spanish: Hands on Skewed Class Distribution to Leverage Training. - Jorge Fernandez-Hernandez, Hermenegildo Fabregat, Andrés Duque, Lourdes Araujo, Juan Martínez-Romo:
UNED-GELP at MentalRiskES 2024: Transformer-Based Encoders and Similarity Techniques for Early Risk Prediction of Mental Disorders. - Andreu Casamayor, Vicent Ahuir, Antonio Molina, Lluís-Felip Hurtado:
ELiRF-VRAIN at MentalRiskES 2024: Using LongFormer for Early Detection of Mental Disorders Risk. - Ronghao Pan, José Antonio García-Díaz, Rafael Valencia-García:
UMUTeam at MentalRiskES@IberLEF 2024: Using the Fine-Tuning Approach of Transformer-Based Models with Sentiment Feature for Early Detection of Mental Disorders. - Erick Barrios González, Mireya Tovar Vidal:
BUAP_01 at MentalRiskES 2024: Detection of Depression and Anxiety Using Features Based on Tagging. - Cristian Daniel Paduraru, Ion Marian Anghelina:
Early Risk Detection for Mental Health Disorders: UnibucAI at MentalRiskES 2024. - Modesto Sierra-Callau, Miguel Ángel Rodríguez-García, Soto Montalvo-Herranz, Raquel Martínez-Unanue:
UNED_MRES Team at MentalRiskES2024: Exploring Hybrid Approaches to Detect Mental Disorder Risks in Social Media. - Elizabeth Martinez, Juan Cuadrado, Juan Carlos Martinez-Santos, Edwin Puertas:
Automated Detection of Depression and Anxiety Using Lexical and Phonestheme Features in Spanish Texts. - Dario Muñoz-Muñoz, Alvaro Marco-Perez, David Ramirez:
Participation of UC3M-DAD on MentalRiskES Task at IberLEF 2024. - Viankail Cedillo-Castelán:
Comparative Analysis of Machine Learning and Transformer Models for Detecting Suicidal Ideation in Social Media Texts.
DETEction and classification of racial STereotypes in Spanish - Learning with Disagreement (DETESTS-Dis)
- Manuel Cerrejón-Naranjo, Manuel Guerrero-García, Jacinto Mata Vázquez, Victoria Pachón Álvarez:
I2C-Huelva at IberLEF-2024 DETESTS-Dis: Learning from Divergence to Identify Explicit and Implicit Racial Stereotypes in Spanish Texts. - Adrián Gónzalez Sánchez, David Santiago García-Chicangana, Santiago Rondón Galvis:
UC3M-sas at IberLEF2024 DETESTS-Dis tasks. - Le Duc Tai:
TaiDepZai999_UIT_AIC at IberLEF 2024 DETEST-Dis task: Classification of racial stereotypes in Spanish With Ensemble Learning Methods and BERT-based Adapter Head.
Detection of Inappropriate Memes from Mexico (DIMEMEX)
- Yeshan Wang, Ilia Markov:
CLTL at DIMEMEX Shared Task: Fine-Grained Detection of Hate Speech in Memes. - Mario García-Hidalgo, Mario García-Rodríguez, Jorge Payno, María Fernanda Salerno Isabel Segura-Bedmar:
DIMEMEX-2024: CyT at DIMEMEX: Leveraging Data Augmentation for the Detection of Hate Speech in Memes. - Fariha Maqbool, Elisabetta Fersini:
Multimodal Hate Speech Detection in Memes from Mexico using BLIP. - Ramón Zataraín-Cabada, María Lucía Barrón-Estrada, Ramón Alberto Camacho Sapien, Víctor Manuel Bátiz Beltrán, Néstor Leyva López, Manuel Alberto Sotelo Rivas:
ITC at DIMEMEX: When hate goes Viral: Detection of Hate Speech in Mexican Memes Using Transformers. - Aisha Aman Parveen:
UCM's Participation to the 2024 DIMEMEX Task: Automatic Detection of Inappropriate Memes in Mexico.
Hate speech detection towards the Mexican Spanish speaking LGBT+ population (HOMO-MEX)
- Anibal Hernández-Gónzalez, Julio Madera Quintana, Alfredo Simón-Cuevas:
UC-CUJAE at HOMO-MEX 2024: Detecting Hate Speech Against the LGTB+ Community using Transformers on Imbalanced Datasets. - Devendra Deepak Kayande, Kishore Kumar Ponnusamy, Prasanna Kumar Kumaresan, Paul Buitelaar, Bharathi Raja Chakravarthi:
VEL at HOMO-MEX 2024: Detecting LGBT+phobia in Mexican Spanish Social Media. - Daniel Yacob Espinosa, Grigori Sidorov, Eusebio Ricárdez Vázquez:
The LaboCIC at HOMO-MEX 2024: Using BERT to Classify Hate-LGTB Speech. - Le Minh Quan, Bui Hong Son, Dang Van Thin:
CANTeam at HOMO-MEX 2024: Hate Speech Detection Towards the Mexican Spanish Speaking LGBT+ Population with Large Language Model. - Omar García-Vázquez, Marco A. Cardoso-Moreno, José Alberto Torres-León, Diana Jiménez:
HomoCIC at HOMO-MEX 2024: Deep Learning Approaches for Classifying Homophobic Content in Tweets and Songs: Leveraging LLM and NL. - Javier Román Pásaro, Álvaro Carrillo-Casado, Jacinto Mata Vázquez, Victoria Pachón Álvarez:
I2C-UHU at HOMO-MEX 2024: Leveraging Large Language Models and Ensembling Transformers to Identify and Classify Hate Messages Towards the LGBTQ+ Community. - Roger David Gonzalez-Henao, Duván-Andrés Marrugo-Tobón, Juan Carlos Martínez Santos, Edwin Puertas:
VerbaNexAI Lab at HOMO-MEX 2024: Multiclass and Multilabel Detection of LGBTQ+ Phobic Content Using Transformers. - Metztli Ramírez-González, Delia Irazú Hernández Farías, Manuel Montes-y-Gómez:
LabTL-INAOE at HOMO-MEX 2024: Distance-based Representations for LGBT+ Phobia Detection. - Sergio Damián, David Vázquez, Edgardo Manuel Felipe Riverón, Cornelio Yáñez-Márquez:
DSVS at HOMO-MEX24: Multi-Class and Multi-Label Hate Speech Detection using Transformer-Based Models. - Luis Ramos, Carolina Palma Preciado, Olga Kolesnikova, Magdalena Saldaña Pérez, Grigori Sidorov, Moein Shahiki Tash:
IntelliLeksika at HOMO-MEX 2024: Detection of Homophobic Content in Spanish Lyrics with Machine Learning. - Daniel Ayala Niño, Manuel Montes-y-Gómez, Ciro Velasco Cruz:
ColPos at HOMO-MEX 2024: Weighted Naive Bayes for LGBTQ+Phobia Detection in Spanish Text.
Approaching Hope Speech Detection in Social Media from Two Perspectives, for Equality, Diversity and Inclussion and as Expectations (HOPE)
- Bui Hong Son, Le Minh Quan, Dang Van Thin:
ABCD Team at HOPE 2024: Hope Detection with BERTology Models and Data Augmentation. - Nguyen Thi Thuy, Dang Van Thin:
An Empirical Study of Prompt Engineering with Large Language Models for Hope Detection in English and Spanish. - Chau Pham Quoc Hung, Dang Van Thin:
Choosing the Right Language Model for the Right Task. - Lemlem Eyob, Tsadkan Yitbarek, Amna Naseeb, Grigori Sidorov, Ildar Z. Batyrshin:
Enhancing Hope Speech Detection on Twitter Using Machine Learning and Transformer Models. - Sonith Divakaran, Kavya Girish, Hosahalli Lakshmaiah Shashirekha:
Hope on the Horizon: Experiments with Learning Models for Hope Speech Detection in Spanish and English. - Girma Yohannis Bade, Olga Kolesnikova, José Luis Oropeza, Grigori Sidorov, Kidist Feleke Bergene:
Hope Speech in Social Media Texts using Transformer. - Fida Ullah, Muhammad Tayyab Zamir, Muhammad Ahmad, Grigori Sidorov, Alexander F. Gelbukh:
HOPE: A Multilingual Approach to Identifying Positive Communication in Social Media. - Amna Naseeb, Kawo Lemlem Eyob, Grigori Sidorov, Olga Kolesnikova:
HOPE@IberLEF 2024: Beyond Binary Bounds - Classifying Hope in Online Discourse. - Mikhail Krasitskii, Olga Kolesnikova, Liliana Chanona-Hernández, Grigori Sidorov, Alexander F. Gelbukh:
HOPE2024@IberLEF: A Cross-Linguistic Exploration of Hope Speech Detection in Social Media. - S. ArunaDevi, B. Bharathi:
Machine Learning Based Approach For Hope Speech Detection. - Zahra Ahani, Moein Shahiki Tash, Majid Tash, Alexander F. Gelbukh, Irina Gelbukh:
Multiclass Hope Speech Detection Through Transformer Methods. - Jesús Armenta-Segura, Grigori Sidorov:
Ometeotl at HOPE2024@IberLEF: Custom BERT Models for Hope Speech Detection. - Michael Ibrahim:
Parameter-Free Spanish Hope Speech Detection. - Ronghao Pan, Ángela Almela, Gema Alcaraz-Mármol:
UMUTeam at HOPE@IberLEF 2024: Fine-Tuning Approach with Sentiment and Emotion Features for Hope Speech Detection. - Arunraj Subburaj, Amirthagadeshwaran Kathiresan, Rahul Ponnusamy, Paul Butilaar, Bharathi Raja Chakravarthi:
UniOfGalway@IberLEF 2024: Hope Speech Recognition in Spanish: A Comparative Analysis of Transformer-Based Models. - Kishore Kumar Ponnusamy, Mani Vegupatti, Prasanna Kumar Kumaresan, Ruba Priyadharshini, Paul Buitelaar, Bharathi Raja Chakravarthi:
VEL@IberLEF 2024: Hope Speech Detection in Spanish Social Media Comments using BERT Pre-trained Model.
Fine-Grained Language-based Reliability Detection in Spanish News (FLARES)
- Joel Pardo, Jiayun Liu, Virginia Ramón-Ferrer, Elvira Amador-Domínguez, Pablo Calleja:
K-Flares: A K-Adapter Based Approach for the FLARES Challenge. - Ronghao Pan, José Antonio García-Díaz, Francisco García-Sánchez, Rafael Valencia-García:
UMUTeam at FLARES@IberLEF 2024: Enhancing Disinformation Detection with 5W1H Techniques and Transformer Models. - Eduardo Grande, Ahmed Begga:
Syntax Savants-UA at IberLEF 2024: Leveraging FLAN-T5-XXL for Automatic 5W1H Identification in Texts. - Michael Ibrahim:
Fine-Grained Language-based Reliability Detection in Spanish New with Fine-Tuned Llama-3 Model.
Automatic Detection and Characterization of Propaganda Techniques and Narratives from Diplomats of World Powers (DIPROMATS)
- Arkadiusz Modzelewski, Pawel Golik, Adam Wierzbicki:
Bilingual Propaganda Detection in Diplomats' Tweets Using Language Models and Linguistic Features. - Alberto Caballero, Roberto Centeno, Álvaro Rodrigo:
LLM-Based Multi-Agent Models for Multiclass Classification of Strategic Narratives. - Paula Sanchez-Checa, Lucía Gallego-Torres, Marco Antonio Sanchez-Escudero, Cosmin Petre, Isabel Segura-Bedmar:
A Transformer and Data Augmentation-based Approach for Propaganda Identification and Classification. - Antoni Valls, Björn Komander, Jesús Cerquides:
Geopolitically-Informed MultiModal BERT for Propaganda Detection in Political Tweets. - José Antonio García-Díaz, Ronghao Pan, Andreu Rodilla Lázaro, Camilo Cristancho, Rafael Valencia-García:
UMUTEAM at DIPROMATS 2024: Feature Integration for Detecting Fine-grained Propaganda and Narrative. - Jose Cuadrado, Elizabeth Martinez, Juan Cuadrado, Juan Carlos Martínez Santos, Edwin Puertas:
VerbaNex AI at DIPROMATS 2024: Enhancing Propaganda Detection in Diplomatic Tweets with Fine-Tuned BERT and Integrated NLP Techniques. - Marco Casavantes, Manuel Montes-y-Gómez, Delia Irazú Hernández Farías, Luis Carlos González-Gurrola, Alberto Barrón-Cedeño:
PropaLTL at DIPROMATS 2024: Cross-lingual Data Augmentation for Propaganda Detection on Tweets. - Miguel Fernández, Maximiliano Ojeda, Lilly Guevara, Diego Varela, Marcelo Mendoza, Alberto Barrón-Cedeño:
VICTOR VECTORS @ DIPROMATS 2024: Propaganda Detection with LLM Paraphrasing and Machine Translation.
Aspect-Based Sentiment Analysis in Portuguese 2024 (ABSAPT)
- Dang Van Thin, Kiet Nguyen Tuan, Duong Ngoc Hao, Ngan Luu-Thuy Nguyen:
ABCD Team at ABSAPT 2024: Classification-Based versus Generation-Based Approach for Aspect-Based Sentiment Analysis in Portuguese. - Bruno Dal Pontte, Anderson Aparecido do Carmo Frasão, Marcus Vinícius Reisdoefer Pereira, Tiago Heinrich, Vinicius Fulber-Garcia:
TeamUFPR at ABSAPT 2024: Improving Sentiment Polarity Classification with Data Augmentation using ChatGPT.
Multimodal Speech-text Emotion Recognition in Spanish (EmoSPeech)
- Marc Casals-Salvador, Federico Costa, Miquel India, Javier Hernando:
BSC-UPC at EmoSPeech-IberLEF2024: Attention Pooling for Emotion Recognition. - Miguel Soto, Cesar Macias, Marco A. Cardoso-Moreno, Tania Alcántara, Omar García, Hiram Calvo:
CogniCIC at EmoSPeech-IberLEF2024: Exploring Multimodal Emotion Recognition in Spanish: Deep Learning Approaches for Speech-Text Analysis. - Mario Andrés Paredes-Valverde, María del Pilar Salas-Zárate:
Team ITST at EmoSPeech-IberLEF2024: Multimodal Speech-text Emotion Recognition in Spanish Forum. - Ángela Almela, Pascual Cantos-Gómez, Daniel Granados-Meroño, Gema Alcaraz-Mármol:
LACELL at EmoSPeech-IberLEF2024: Combining Linguistic Features and Contextual Sentence Embeddings for Detecting Emotions from Audio Transcriptions. - Daniel García-Baena, Miguel Ángel García Cumbreras, Salud María Jiménez-Zafra:
SINAI at EmoSPeech-IberLEF2024: Evaluating Popular Tools and Transformers Models for Multimodal Speech-Text Emotion Recognition in Spanish. - Sergio Esteban Romero, Jaime Bellver-Soler, Iván Martín-Fernández, Manuel Gil-Martín, Luis Fernando D'Haro, Fernando Fernández Martínez:
THAU-UPM at EmoSPeech-IberLEF2024: Efficient Adaptation of Mono-modal and Multi-modal Large Language Models for Automatic Speech Emotion Recognition. - Katty Lagos-Ortiz, José Medina-Moreira, Oscar Apolinario-Arzube:
UAE at EmoSPeech-IberLEF2024: Integrating Text and Audio Features with SVM for Emotion Detection. - Andrea Chaves-Villota, Ana Jiménez, Alfonso Bahillo:
UAH-UVA in EmoSpeech-IberLEF2024: A Transfer Learning Approach for Emotion Recognition in Spanish Texts based on a Pre-trained DistilBERT Model. - Anatoly Y. Gladun, Julia Rogushina, Rodrigo Martínez-Béjar:
UKR at EmoSPeech-IberLEF2024: Using Fine-tuning with BERT and MFCC Features for Emotion Detection. - Juan Martínez-Romo, José Farnesio Huesca Barril, Lourdes Araujo, Enrique A. de la Cal Marín:
UNED-UNIOVI at EmoSPeech-IberLEF2024: Emotion Identification in Spanish by Combining Multimodal Textual Analysis and Machine Learning Methods. - Denis Cedeño-Moreno, Miguel Vargas-Lombardo, Alan Delgado-Herrera, Camilo Caparrós-Laiz, Tomás Bernal-Beltrán:
UTP at EmoSPeech-IberLEF2024: Using Random Forest with FastText and Wav2Vec 2.0 for Emotion Detection.
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