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IberLEF@SEPLN 2022: A Coruña, Spain
- 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 - Julio Gonzalo, Manuel Montes-y-Gómez, Francisco Rangel:
IberLEF 2022 Overview: Natural Language Processing for Iberian Languages.
Aspect-Based Sentiment Analysis in Portuguese (ABSAPT)
- Juliana Resplande Sant'Anna Gomes, Eduardo Augusto Santos Garcia, Adalberto Ferreira Barbosa Junior, Ruan Chaves Rodrigues, Diogo Fernandes Costa Silva, Dyonnatan Ferreira Maia, Nádia Félix Felipe da Silva, Arlindo Rodrigues Galvão Filho, Anderson da Silva Soares:
Deep Learning Brasil at ABSAPT 2022: Portuguese Transformer Ensemble Approaches. - Mateus Tarcinalli Machado, Thiago Alexandre Salgueiro Pardo:
NILC at ABSAPT 2022: Aspect Extraction for Portuguese. - Francisco Assis Ricarte Neto, Rogério Figueredo de Sousa, Roney Lira de Sales Santos, Rafael Tôrres Anchiêta, Raimundo Santos Moura:
Team PiLN at ABSAPT 2022: Lexical and BERT Strategies for Aspect-Based Sentiment Analysis in Portuguese. - Tiago Heinrich, Felipe Marchi:
TeamUFPR at ABSAPT 2022: Aspect Extraction with CRF and BERT. - Fernanda Malheiros Assi, Gabriel Barbosa Candido, Lucas Nildaimon dos Santos Silva, Diego Furtado Silva, Helena de Medeiros Caseli:
UFSCar's Team at ABSAPT 2022: Using Syntax, Semantics and Context for Solving the Tasks.
Spanish Author Profiling for Political Ideology (PoliticEs)
- Sergio Santamaria Carrasco, Roberto Cuervo Rosillo:
LosCalis at PoliticEs 2022: Political Author Profiling using BETO and MarIA. - Emilio Villa-Cueva, Ivan González-Franco, Fernando Sánchez-Vega, Adrián Pastor López-Monroy:
NLP-CIMAT at PoliticEs 2022: PolitiBETO, a Domain-Adapted Transformer for Multi-class Political Author Profiling. - Alejandro Mosquera:
Alejandro Mosquera at PoliticEs 2022: Towards Robust Spanish Author Profiling and Lessons Learned from Adversarial Attacks. - Enrique Santibáñez-Cortés, Azael Carrillo-Cabrera, Yair Antonio Castillo-Castillo, Daniela Moctezuma, Victor Muñiz-Sánchez:
CIMAT_2021 at PoliticEs 2022: Ensemble Based Classification Algorithms for Author Profiling in Spanish Language. - Cristina García Holgado, Aman Sinha:
HalBERT at PoliticEs 2022: Are Machine Learning Algorithms better for Author Profiling? - Pablo Cáceres Ramos, Jacinto Mata Vázquez, Victoria Pachón Álvarez, Juan Luis Domínguez-Olmedo:
I2C at PoliticEs 2022: Using Transformers to Identify Political Ideology in Spanish Tweets. - José Luis Ochoa-Hernández, Yuridiana Alemán:
TeamMX at PoliticEs 2022: Analysis of Feature Sets in Spanish Author Profiling for Political Ideology. - Andrei-Alexandru Manea, Liviu Petrisor Dinu:
UniRetro at PoliticEs@IberLef 2022: Political Ideology Profiling using Language Models. - Álvaro Rodrigo, Hermenegildo Fabregat, Roberto Centeno:
UNED at PoliticEs 2022: Testing Approximate Nearest Neighbors and Spanish Language Models for Author Profiling in Political Ideology. - Hoang Thang Ta, Abu Bakar Siddiqur Rahman, Lotfollah Najjar, Alexander F. Gelbukh:
THANGCIC at PoliticEs 2022: Term-based BERT for Extracting Political Ideology from Spanish Author Profiling. - Miguel Ángel Rodríguez-García, Soto Montalvo-Herranz, Raquel Martínez-Unanue:
URJC-Team at PoliticEs 2022: Political Ideology Prediction using Linear Classifiers. - César Espin-Riofrio, Jenny Ortiz-Zambrano, Arturo Montejo-Ráez:
SINAI at PoliticEs 2022: Exploring Relative Frequency of Words in Stylometrics for Profile Discovery. - Álvaro García-Ochoa Martín-Forero, Alejandro Massotti López, Isabel Segura-Bedmar:
UC3MDeep at PoliticEs 2022: Exploring Traditional Machine Learning Algorithms for Political Ideology Detection. - Hiram Cabrera, Eric Sadit Tellez, Sabino Miranda-Jiménez:
INFOTEC-LaBD at PoliticES 2022: Low-dimensional Stacking Model for Political Ideology Profiling.
Recommendation System, Sentiment Analysis and Covid Semaphore Prediction for Mexican Tourist Texts (Rest-Mex 2022)
- Cipriano Callejas-Hernández, Erika Rivadeneira-Pérez, Fernando Sánchez-Vega, Adrián Pastor López-Monroy, Esaú Villatoro-Tello:
The Winning Approach for the Recommendation Systems Shared Task @REST_MEX 2022. - Victor Giovanni Morales Murillo, David Eduardo Pinto Avendaño, Franco Rojas López:
A Hybrid Recommender Model based on Information Retrieval for Mexican Tourism Text in Rest-Mex 2022. - Santiago Veigas Ramírez, Daniel Martínez Davies, Isabel Segura-Bedmar:
Recommendation System Rest-Mex 2022 for Mexican Tourism Using Natural Language Processing. - Daniel Mendoza, Jorge Ramos-Zavaleta, Adrian Rodríguez:
A Transfer Learning Model for Polarity in Touristic Reviews in Spanish from TripAdvisor. - Victor Gómez-Espinosa, Victor Muñiz-Sanchez, Adrián Pastor López-Monroy:
AutoML and Ensemble Transformers for Sentiment Analysis in Mexican Tourism Texts. - Enrique Santibáñez-Cortés, Azael Carrillo-Cabrera, Yair Antonio Castillo-Castillo, Daniela Alejandra Moctezuma-Ochoa, Victor Hugo Muñiz-Sánchez:
BERT and Data Augmentation for Sentiment Analysis in TripAdvisor Reviews. - Gabriel Missael Barco, Gil Estéfano Rodríguez Rivera, Delia Irazú Hernández Farías:
Sentiment Analysis in Spanish Reviews: Dataket Submission on REST-Mex 2022. - Juan Carlos Rivas-Álvarez, René Arnulfo García-Hernández, Sergio Iván Medina-Martínez, Ana Mercedes Martínez-Ortiz, Néstor Hernández Castañeda, José Esteban Ruiz-Melo, Ángel Hernández-Castañeda, Yulia Nikolaevna Ledeneva:
Opinion Mining of the Mexican Tourism Sector through Sets of Normalized N-Grams. - Julian Alcibar-Zubillaga, Yanina De-Luna Ocampo, Isaias Pacheco-Castillo, Kevin Ramirez-Mendez, Juan-Pablo-Minoru Sainz-Takata, Omar Juárez Gambino:
Participation of ESCOM's Data Science Group at Rest-Mex 2022: Sentiment Analysis Task. - Juan David Jurado-Buch, Lázaro Bustio-Martínez, Miguel Ángel Álvarez-Carmona:
The Role of the Topics for the Sentiment Analysis Task on a Mexican Tourist Collection. - Mario Pérez Enríquez, Javier Alonso Mencía, Isabel Segura-Bedmar:
Transformers Approach for Sentiment Analysis: Classification of Mexican Tourists Reviews from TripAdvisor. - Orlando Grabiel Toledano-López, Julio Madera, Héctor R. Gonzalez, Alfredo Simón-Cuevas, Thomas Demeester, Erik Mannens:
Fine-tuning mT5-based Transformer via CMA-ES for Sentiment Analysis. - José Antonio García-Díaz, Miguel Ángel Rodríguez-García, Francisco García-Sánchez, Rafael Valencia-García:
UMUTeam at REST-MEX 2022: Polarity Prediction using Knowledge Integration of Linguistic Features and Sentence Embeddings based on Transformers. - Antonio Rico Sulayes, Julián Monsalve-Pulido:
A Proposal and Comparison of Supervised and Unsupervised Classification Techniques for Sentiment Analysis in Tourism Data. - Jorge Ramos-Zavaleta, Adrian Rodríguez:
A Mexico's Covid Traffic Light Color Prediction System Based on Mexican News. - Gabriela Carmona-Sánchez, Ángel Carmona, Miguel Ángel Álvarez-Carmona:
Combining Linear Regressions to Determine the Future of the Covid in Mexico from the News. - Alejandra Romero-Cantón, Ramón Aranda, Ángel Díaz-Pacheco, Juan Pablo Ramírez-Silva:
Mexican Epidemiological Semaphore Color Prediction by Means of Mutual Information Features.
Detection of Aggressive and Violent INCIdents from Social Media in Spanish (DA-VINCIS@IberLEF2022)
- Hoang Thang Ta, Abu Bakar Siddiqur Rahman, Lotfollah Najjar, Alexander F. Gelbukh:
Multi-Task Learning for Detection of Aggressive and Violent Incidents from Social Media. - Atnafu Lambebo Tonja, Muhammad Arif, Olga Kolesnikova, Alexander F. Gelbukh, Grigori Sidorov:
Detection of Aggressive and Violent Incidents from Social Media in Spanish using Pre-trained Language Model. - Daniel Vallejo Aldana, Adrián Pastor López-Monroy, Esaú Villatoro-Tello:
Leveraging Events Sub-Categories for Violent-Events Detection in Social Media. - Pablo Turón, Naiara Pérez, Aitor García Pablos, Elena Zotova, Montse Cuadros:
Vicomtech at DA-VINCIS: Detection of Aggressive and Violent Incidents from Social Media in Spanish. - Rosa María Montañes-Salas, Rafael del-Hoyo-Alonso, Paula Peña-Larena:
ITAINNOVA@DA-VINCIS: A Tale of Transformers and Simple Optimization Techniques. - Guanqiu Qin, Junheng He, Qifeng Bai, Nankai Lin, Jigang Wang, Kang Zhou, Dong Zhou, Aimin Yang:
Prompt Based Framework for Violent Event Recognition in Spanish. - Hoang Thang Ta, Abu Bakar Siddiqur Rahman, Lotfollah Najjar, Alexander F. Gelbukh:
GAN-BERT: Adversarial Learning for Detection of Aggressive and Violent Incidents from Social Media. - José Antonio García-Díaz, Salud María Jiménez-Zafra, Miguel Ángel Rodríguez-García, Rafael Valencia-García:
UMUTeam at DA-VINCIS 2022: Aggressive and Violent Classification using Knowledge Integration and Ensemble Learning.
DETEction and classification of racial STereotypes in Spanish (DETESTS 2022)
- José Antonio García-Díaz, Salud María Jiménez-Zafra, Rafael Valencia-García:
UMUTeam at IberLEF-2022 DETESTS task: Feature Engineering for the Identification and Categorization of Racial Stereotypes in Spanish. - Juan Antonio Ramirez-Orta, María Virginia Sabando, Mariano Maisonnave, Evangelos E. Milios:
MALNIS at IberLEF-2022 DETESTS Task: A Multi-Task Learning Approach for Low-Resource Detection of Racial Stereotypes in Spanish. - Jacinto Mata Vázquez, Victoria Pachón Álvarez, Chaimae Tayebi Taybi, Pablo Pizarro Sánchez:
I2C at IberLEF-2022 DETESTS task: Detection of Racist Stereotypes in Spanish Comments using UnderBagging and Transformers. - Fatima Laknani, Mercedes García-Martínez:
Lak_NLP at IberLEF-2022 DETESTS task: Automatic Classification of Stereotypes in Text. - David Cabestany
, Clara Adsuar, Miguel López:
DaMinCi at IberLEF-2022 DETESTS task: Detection and Classification of Racial Stereotypes in Spanish.
sEXism Identification in Social neTworks (EXIST 2022)
- Daria Liakhovets, Mina Schütz
Transfer Learning for Automatic Sexism Detection with Multilingual Transformer Models - AIT_FHSTP@EXIST2022. - Angel Felipe Magnossão de Paula, Roberto Fray da Silva:
Detection and Classification of Sexism on Social Media Using Multiple Languages, Transformers, and Ensemble Models. - Alejandro Vaca Serrano:
Detecting and Classifying Sexism by Ensembling Transformers Models. - Emilio Villa-Cueva, Fernando Sánchez-Vega, Adrián Pastor López-Monroy:
Bi-Ensembles of Transformer for Online Bilingual Sexism Detection. - Vicent Ahuir, José-Ángel González, Lluís-Felip Hurtado:
Enhancing Sexism Identification and Categorization in Low-data Situations. - Victoria Pachón Álvarez, Jacinto Mata Vázquez, Wissam Chibane, Juan Luis Domínguez-Olmedo:
Automatic Sexism Identification Using an Ensemble of Pretrained Transformers. - Roberto Labadie Tamayo
Are Examples Worth More Than Language? - Kepa Bengoetxea, Amaia Aguirregoitia Martínez:
Multiaztertest@Exist-Iberlef2022: Sexism Identification in Social Networks. - Amaan Rizvi, Anupam Jamatia:
NIT-Agartala-NLP-Team at EXIST 2022: Sexism Identification in Social Networks. - Gersome Shimi, Jerin Mahibha C, Durairaj Thenmozhi:
Sexism Identification In Social Media Using Deep Learning Models. - Daniel García-Baena
SINAI at EXIST 2022: Exploring Data Augmentation and Machine Translation for Sexism Identification. - Flor Miriam Plaza del Arco, María Dolores Molina-González, Luis Alfonso Ureña López, María Teresa Martín Valdivia:
Exploring the Use of Different Linguistic Phenomena for Sexism Identification in Social Networks. - Hoang Thang Ta, Abu Bakar Siddiqur Rahman, Lotfollah Najjar, Alexander F. Gelbukh:
Transfer Learning from Multilingual DeBERTa for Sexism Identification. - José Antonio García-Díaz, Salud María Jiménez-Zafra, Ricardo Colomo Palacios, Rafael Valencia-García:
UMUTeam at EXIST 2022: Knowledge Integration and Ensemble Learning for Multilingual Sexism Identification and Categorization using Linguistic Features and Transformers. - Arjumand Younus, Muhammad Atif Qureshi:
A Framework for Sexism Detection on Social Media via ByT5 and TabNet.
Named-Entity Recognition and entity linking for living being mentions (LivingNER)
- Elena Zotova, Aitor García Pablos, Naiara Pérez, Pablo Turón, Montse Cuadros:
Vicomtech at LivingNER2022. - Andrei-Marius Avram, Maria Mitrofan, Vasile Florian Pais:
Species Entity Recognition Using a Neural Inhibitory Mechanism. - Antonio Jimeno-Yepes, Karin Verspoor:
The READ-BioMed Team in LivingNER Task 1 (2022): Adaptation of an English Annotation System to Spanish. - Mariia Chizhikova, Jaime Collado-Montañez, Pilar López-Úbeda, Manuel Carlos Díaz-Galiano, Luis Alfonso Ureña López, María Teresa Martín-Valdivia:
SINAI at LivingNER Shared Task 2022: Species Mention Recognition and Normalization Using Transfer Learning and String Matching Techniques. - Matías Rojas, Jose Barros, Mauricio Araneda, Jocelyn Dunstan:
FLERT-Matcher: A Two-Step Approach for Clinical Named Entity Recognition and Normalization. - Sumam Francis, Marie-Francine Moens:
Task-Aware Contrastive Pre-training for Spanish Named Entity Recognition in LivingNER Challenge. - Parsa Bagherzadeh, Harsh Verma, Sabine Bergler:
Multi-Input RIM for Named-Entity Recognition in Spanish Clinical Reports. - Veysel Kocaman, Gursev Pirge, Bunyamin Polat, David Talby:
Biomedical Named Entity Recognition in Eight Languages with Zero Code Changes. - Alejandro Vaca Serrano:
Named Entity Recognition For Humans and Species With Domain-Specific and Domain-Adapted Transformer Models. - Rodrigo del Moral, Javier Reyes-Aguillón, Orlando Ramos Flores, Helena Gómez-Adorno, Gemma Bel-Enguix:
Species Mention Entity Recognition, Linking and Classification Using RoBERTa in Combination with Spanish Medical Embeddings. - Sébastien Cossin, Gayo Diallo, Vianney Jouhet:
IAM at IberLEF 2022: NER of Species Mentions. - Marcel Schwarz, Kathryn Chapman, Bertram Häussler:
Multilingual Medical Entity Recognition and Cross-lingual Zero-Shot Linking with Facebook AI Similarity Search. - Antonio Tamayo, Diego A. Burgos, Alexander F. Gelbukh:
ParTNER: Paragraph Tuning for Named Entity Recognition on Clinical Cases in Spanish using mBERT + Rules. - Zhengzhong Zhu, Liqing Wang:
BERT-BiLSTM Model for Entity Recognition in Clinical Text. - Hanjie Mai, Xiaobing Zhou:
Clinical Text Entity Recognition Based on Pretrained Model and BiGRU-CRF. - Song Han, Haiyan Ding:
Named Entity Recognition for LivingNER-Species based on BERT and Span Detection.
Paraphrase Identification in Mexican Spanish (PAR-MEX)
- Abu Bakar Siddiqur Rahman, Hoang Thang Ta, Lotfollah Najjar, Alexander F. Gelbukh:
Paraphrase Identification: Lightweight Effective Methods Based Features from Pre-trained Models. - Angela Brando-Le-Bihan, Roman Karbushev, Isabel Segura-Bedmar:
UC3M at PAR-MEX@IberLef 2022: From Cosine Distance to Transformer Models for Paraphrase Identification in Mexican Spanish. - Leander Girrbach:
PAR-MEX Shared Task Submission Description: Identifying Spanish Paraphrases Using Pretrained Models and Translations. - Hoang Thang Ta, Abu Bakar Siddiqur Rahman, Lotfollah Najjar, Alexander F. Gelbukh:
GAN-BERT, an Adversarial Learning Architecture for Paraphrase Identification. - Abdul Gafar Manuel Meque, Fazlourrahman Balouchzahi, Grigori Sidorov, Alexander F. Gelbukh:
Mexican Spanish Paraphrase Identification using Data Augmentation. - Antonio Tamayo, Diego A. Burgos, Alexander F. Gelbukh:
Using Transformers on Noisy vs. Clean Data for Paraphrase Identification in Mexican Spanish.
Question Answering Learning from Examples in Spanish (QuALES)
- Álvaro Rodrigo, Anselmo Peñas:
UNED at QuALES 2022: Testing the Performance of Transformer-Based Language Models for Spanish Question-Answering. - Santiago Máximo:
Supervised Domain Adaptation for Extractive Question Answering in Spanish. - Alejandro Vaca Serrano:
Adversarial Question Answering in Spanish with Transformer Models.
Reading Comprehension and Reasoning Explanation for Spanish (ReCoRES)
- Pablo Baggetto, Sofía Ramos, Joan García, José Ramón Navarro:
Study on Text Comprehension and MCQA in Spanish. - Javier de la Rosa, Andrés Fernández:
Zero-shot Reading Comprehension and Reasoning for Spanish with BERTIN GPT-J-6B.
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