IberLEF 2021
Iberian Languages Evaluation Forum 2021

Table of Contents

• Preface
  
  
• Organization
  
  
• IberLEF 2021 Overview: Natural Language Processing for Iberian Languages 1-15
  Julio Gonzalo, Manuel Montes-y-Gómez, Paolo Rosso

Emotions, Stance and Opinions

Emotion classification (EmoEvalEs)

• GSI-UPM at IberLEF2021: Emotion Analysis of Spanish Tweets by Fine-tuning the XLM-RoBERTa Language Model 16-26
  Daniel Vera, Oscar Araque, Carlos A. Iglesias
• Sentiment Analysis for Spanish Tweets based on Continual Pre-training and Data Augmentation 27-34
  Yingwen Fu, Ziyu Yang, Nankai Lin, Lianxi Wang, Feng Chen
• Emotion Detection for Spanish with Data Augmentation and Transformer-Based Models 35-42
  Hongxin Luo
• URJC-Team at EmoEvalEs 2021: BERT for Emotion Classification in Spanish Tweets 43-48
  Jorge Alberto Flores Sanchez, Soto Montalvo Herranz, Raquel Martinez Unanue
• HAHA at EmoEvalEs 2021: Sentiment Analysis in Spanish Tweets with Cross-lingual Model 49-58
  Kun Li
• UMUTeam at EmoEvalEs 2021: Emotion Analysis for Spanish based on Explainable Linguistic Features and Transformers 59-71
  Jose Antonio Garcia-Diaz, Ricardo Colomo-Palacios, Rafael Valencia-Garcia
• RETUYT-InCo at EmoEvalEs 2021: Multiclass Emotion Classification in Spanish 72-77
  Luis Chiruzzo, Aiala Rosa
• Emotion Detection for Spanish by Combining LASER Embeddings, Topic Information, and Offense Features 78-85
  Fedor Vitiugin, Giorgio Barnabo
• Applying Sentiment Analysis on Spanish Tweets Using BETO 86-93
  Ariadna de Arriba, Marc Oriol, Xavier Franch
• Emotion Classification for Spanish with XLM-RoBERTa and TextCNN 94-100
  Suidong Qu, Yanhua Yang, Qinyu Que
• Emotion Analysis for Spanish Tweets: The Model based on XLM-RoBERTa and Bi-GRU 101-109
  Yuanchi Qu, Shuangjun Jia, Yanjie Zhang

Recommendation System for Text Mexican Tourism (REST-MEX)

• An Embeddings Based Recommendation System for Mexican Tourism. Submission to the REST-MEX Shared Task at IberLEF 2021 110-117
  Jean Arreola, Lizeth Garcia, Jorge Ramos-Zavaleta, Adrian Rodriguez
• Naive Features for Sentiment Analysis on Mexican Touristic Opinions Texts 118-126
  Gabriela Carmona-Sanchez, Angel Carmona, Miguel A. Alvarez-Carmona
• DCI-UG participation at REST-MEX 2021: A Transfer Learning Approach for Sentiment Analysis in Spanish 127-133
  Geovanni Velazquez Medina, Delia Irazu Hernandez Farias
• A Recommendation System for Tourism Based on Semantic Representations and Statistical Relational Learning 134-148
  Eliseo Morales-Gonzalez, David Torres-Moreno, Alexandra Ehrlich-Lopez, Mauricio Toledo-Acosta, Bolivar Martinez-Zaldivar, Jorge Hermosillo-Valadez
• Semantic Representations of Words and Automatic Keywords Extraction for Sentiment Analysis of Tourism Reviews 149-164
  Mauricio Toledo-Acosta, Bolivar Martinez-Zaldivar, Alexandra Ehrlich-Lopez, Eliseo Morales-Gonzalez, David Torres-Moreno, Jorge Hermosillo-Valadez
• Bert-based Approach for Sentiment Analysis of Spanish Reviews from TripAdvisor 165-170
  Juan Vásquez, Helena Gómez-Adorno, Gemma Bel-Enguix
• Techkatl: A Sentiment Analysis Model to Identify the Polarity of Mexican’s Tourism Opinions 171-178
  Eduardo Roldán Reyes
• Sentiment Classification for Mexican Tourist Reviews based on K-NN and Jaccard Distance 179-184
  Alejandra Romero-Cantón, Ramon Aranda
• Cascade of Biased Two-class Classifiers for Multi-class Sentiment Analysis 185-191
  José Abreu, Pedro Mirabal, Adrián Ballester-Espinosa

Going Beyond Text in Cross-lingual Stance Detection (VaxxStance)

• MultiAzterTest@VaxxStance-IberLEF 2021: Identifying Stances with Language Models and Linguistic Features 192-201
  Itziar Gonzalez-Dios, Kepa Bengoetxea
• SQYQP@Vaxxstance: Stance Detection for the Antivaxxers Movement 202-209
  Jesus Calleja, Ariane Mendez
• WordUp! at VaxxStance 2021: Combining Contextual Information with Textual and Dependency-Based Syntactic Features for Stance Detection 210-232
  Mirko Lai, Alessandra Tresa Cignarella, Livio Finos, Andrea Sciandra

Harmful Information

Offensive Language Detection in Spanish Variants (MeOffendEs@IberLEF 2021)

• Transformer based Offensive Language Identification in Spanish 233-239
  Sreelakshmi K, Premjith B, K. P. Soman
• Using Lexical Resources for Detecting Offensiveness in Mexican Spanish Tweets 240-250
  Daniel Abraham Huerta-Velasco, Hiram Calvo
• Transformers Pipeline for Offensiveness Detection in Mexican Spanish Social Media 251-258
  Victor Gómez-Espinosa, Victor Muñiz-Sanchez, Adrián Pastor López-Monroy
• BERT's Auxiliary Sentence focused on Word's Information for Offensiveness Detection 259-269
  Fernando Sánchez-Vega, Adrián Pastor López-Monroy
• DCCD-INFOTEC at MeOffendEs@IberLEF21 Subtask 3: A Transfer Learning Approach Based on EvoMSA’s Stacked Generalization 270-280
  José J. Calderón, Eric S. Tellez, Mario Graff
• Non-contextual Binary Classification for Mexican Spanish with XLM and CNN 281-287
  Suidong Qu, Qinyu Que, Shuangjun Jia
• Detecting Offensiveness in Social Network Comments 288-312
  Marta Navarrón García, Isabel Segura Bedmar
• Evaluation of Intermediate Pre-training for the Detection of Offensive Language 313-320
  Segun Taofeek Aroyehun, Alexander Gelbukh
• YNU qyc at MeOffendEs@IberLEF 2021:The XLM-RoBERTa and LSTM for Identifying Offensive Tweets 321-328
  Yuanchi Qu, Yanhua Yang, Gang Wang
• UMUTeam at MeOffendEs 2021: Ensemble Learning for Offensive Language Identification using Linguistic Features, Fine-grained Negation, and Transformers 329-345
  José Antonio García-Díaz, Salud María Jiménez-Zafra, Rafael Valencia-García

sEXism Identification in Social neTworks (EXIST)

• Automatic Sexism Detection with Multilingual Transformer Models AIT FHSTP@EXIST2021 346-355
  Schutz Mina, Boeck Jaqueline, Liakhovets Daria, Slijepcevic Djordje, Kirchknopf Armin, Hecht Manuel, Bogensperger Johannes, Schlarb Sven, Schindler Alexander, Zeppelzauer Matthias
• Sexism Prediction in Spanish and English Tweets Using Monolingual and Multilingual BERT and Ensemble Models 356-373
  Angel Felipe Magnossao de Paula, Roberto Fray da Silva, Ipek Baris Schlicht
• Sexism identification in Social Networks EXIST Task proposal 374-380
  Álvaro Faubel Sanchis, Clara Martí Torregrosa
• Sexism Identification using BERT and Data Augmentation - EXIST2021 381-389
  Sabur Butt, Noman Ashraf, Grigori Sidorov, Alexander Gelbukh
• Transformer Ensembles for Sexism Detection 390-394
  Lily Davies, Marta Baldracchi, Carlo Alessandro Borella, Konstantinos Perifanos
• EXIST2021: Detecting Sexism with Transformers and Translation-Augmented Data 395-401
  Guillem García Subies
• Knowledge-based Neural Framework for Sexism Detection and Classification 402-414
  Harika Abburi, Shradha Sehgal, Himanshu Maheshwari, Vasudeva Varma
• Automatic Detection of Sexism in Social Media with a Multilingual Approach 415-419
  Lutfiye Seda Mut Altin, Horacio Saggion
• MB-Courage @ EXIST: GCN Classification for Sexism Identification in Social Networks 420-430
  Rodrigo Wilkens, Dimitri Ognibene
• Combining Transformer-Based Models with Traditional Machine Learning Approaches for Sexism Identification in Social Networks at EXIST 2021 431-441
  Ezequiel Lopez-Lopez, Jorge Carrillo-de-Albornoz, Laura Plaza
• A Simple Voting Mechanism for Online Sexist Content Identification 442-448
  Chao Feng
• MultiAzterTest@Exist-IberLEF 2021: Linguistically Motivated Sexism Identification 449-457
  Kepa Bengoetxea, Itziar Gonzalez-Dios
• A Multi-Task and Multilingual Model for Sexism Identification in Social Networks 458-468
  Francisco Rodríguez-Sánchez, Jorge Carrillo-de-Albornoz, Laura Plaza
• QMUL-SDS at EXIST: Leveraging Pre-trained Semantics and Lexical Features for Multilingual Sexism Detection in Social Networks 469-483
  Aiqi Jiang, Arkaitz Zubiaga
• System Description for EXIST Shared Task at IberLEF 2021: Automatic Misogyny Identification Using Pretrained Transformers 484-490
  Ignacio Talavera, David Fidalgo, Daniel Vila-Suero
• Sexism Identification in Social Networks using a Multi-Task Learning System 491-499
  Flor Miriam Plaza-del-Arco, M. Dolores Molina-González, L. Alfonso Ureña-López, M. Teresa Martín-Valdivia
• Sexism Detection in English and Spanish Tweets 500-505
  Ritesh Kumar, Soumya Pal, Rajendra Pamula
• EXIST 2021: Inducing Bias in Deep Learning Models 506-511
  Ismael Garrido-Muñoz, Arturo Montejo-Ráez, Fernando Martínez-Santiago
• UMUTeam at EXIST 2021: Sexist Language Identification based on Linguistic Features and Transformers in Spanish and English 512-521
  José Antonio García-Díaz, Ricardo Colomo-Palacios, Rafael Valencia-García
• UNEDBiasTeam at IberLEF 2021's EXIST Task: Detecting Sexism Using Bias Techniques 522-532
  Francisco-Javier Rodrigo-Ginés, Jorge Carrillo-de-Albornoz, Laura Plaza

DEtection of TOXicity in comments In Spanish (DETOXIS)

• GTH-UPM at DETOXIS-IberLEF 2021: Automatic Detection of Toxic Comments in Social Networks 533-546
  Sergio Esteban Romero, Ricardo Kleinlein, Cristina Luna-Jiménez, Juan Manuel Montero, Fernando Fernández-Martínez
• AI-UPV at IberLEF-2021 DETOXIS task: Toxicity Detection in Immigration-Related Web News Comments Using Transformers and Statistical Models 547-566
  Angel Felipe Magnossao de Paula, Ipek Baris Schlicht
• “DEMBO” at IberLEF-2021 DETOXIS task: Toxicity Analysis in comments using Machine Learning Models 567-572
  Álvaro Mazcuñán, Miquel Marín
• Alejandro Mosquera at DETOXIS 2021: Deep Learning Approaches to Toxicity Detection in Spanish Social Media Texts 573-579
  Alejandro Mosquera López
• SINAI at IberLEF-2021 DETOXIS task: Exploring Features as Tasks in a Multi-task Learning Approach to Detecting Toxic Comments 580-590
  Flor Miriam Plaza-del-Arco, M. Dolores Molina-González, L. Alfonso Ureña-López, M. Teresa Martín-Valdivia
• GuillemGSubies at IberLEF-2021 DETOXIS task: Detecting Toxicity with Spanish BERT 591-598
  Guillem García Subies

Fake News Detection in Spanish (FakeDeS)

• Bribones tras la esmeralda perdida@FakeDeS 2021: Fake news detection based on random forests, k-nearest neighbors, and n-grams for a Spanish corpora 599-608
  Victor Lomas Barrie, Nora Perez, Victor Manuel Lara, Antonio Neme
• CiTIUS at FakeDeS 2021: A Hybrid Strategy for Fake News Detection 609-614
  Pablo Gamallo
• YETI at FakeDeS 2021: Fake News Detection in Spanish with ALBERT 615-620
  Hongxin Luo
• GDUF_DM at FakeDeS 2021: Spanish Fake News Detection with BERT and Sample Memory 621-629
  Xixuan Huang, Jieying Xiong, Shengyi Jiang
• HAHA at FakeDeS 2021: A Fake News Detection Method Based on TF-IDF and Ensemble Machine Learning 630-638
  Kun Li
• ForceNLP at FakeDeS 2021: Analysis of Text Features Applied to Fake News Detection in Spanish 639-645
  Jorge Reyes-Magaña, Luis Enrique Argota Vega
• LCAD - UFES at FakeDeS 2021: Fake News Detection Using Named Entity Recognition and Part-of-Speech Sequences 646-654
  Marcos A. Spalenza, Leopoldo Lusquino-Filho, Felipe M. G. Franca, Priscila M. V. Lima, Elias de Oliveira
• zk15120170770 at FakeDeS 2021: Fake news detection based on Pre-training Model 655-660
  Kun Zhao, Siyao Zhou, Weihua Li
• TSIA team at FakeDeS 2021: Fake News Detection in Spanish Using Multi-Model Ensemble Learning 661-667
  Zhengyi Guan

Health-related Information Extraction and Knowledge Discovery

eHealth Knowledge Discovery (eHealth-KD 2021)

• IXA at eHealth-KD Challenge 2021: Generic Sequence Labelling as Relation Extraction Approach 668-674
  Edgar Andrés
• JAD at eHealth-KD Challenge 2021: Simple Neural Network with BERT for Joint Classification of Key-Phrases and Relations 675-682
  José Gabriel Navarro Comabella, Jorge Daniel Valle Diaz, Alberto Helguera Fleitas
• PUCRJ-PUCPR-UFMG at eHealth-KD Challenge 2021: A Multilingual BERT-based System for Joint Entity Recognition and Relation Extraction 683-691
  Lucas Pavanelli, Elisa Terumi Rubel Schneider, Yohan Bonescki Gumiel, Thiago Castro Ferreira, Lucas Ferro Antunes de Oliveira, Joao Vitor Andrioli de Souza, Giovanni Pazini Meneghel Paiva, Lucas Emanuel Silva e Oliveira, Claudia Maria Cabral Moro, Emerson Cabrera Paraiso, Adriana Pagano
• UH-MMM at eHealth-KD Challenge 2021 692-702
  Loraine Monteagudo-García, Amanda Marrero-Santos, Manuel Santiago Fernández-Arias, Hian Cañizares-Díaz
• uhKD4 at eHealth-KD Challenge 2021: Deep Learning Approaches for Knowledge Discovery from Spanish Biomedical Documents 703-711
  Dayany Alfaro-González, Dalianys Pérez-Perera, Gilberto González-Rodríguez, Antonio Jesús Otaño-Barrera, Rocío Cruz-Linares
• Vicomtech at eHealth-KD Challenge 2021: Deep Learning Approaches to Model Health-related Text in Spanish 712-724
  Aitor García-Pablos, Naiara Perez, Montse Cuadros
• Yunnan-1 at eHealth-KD Challenge 2021: Deep-Learning Methods for Entity Recognition in Medical Text 725-730
  Maoqin Yang
• Yunnan-Deep at eHealth-KD Challenge 2021: Deep Learning Model for Entity Recognition in Spanish Documents 731-736
  Zhengyi Guan, Renyuan Liu

MEDical DOcuments PROFessions recognition shared task (MEDDOPROF)

• Boosting Transformers for Job Expression Extraction and Classification in a Low-Resource Setting 737-746
  Lukas Lange, Heike Adel, Jannik Strötgen
• ADOP FERT-Automatic Detection of Occupations and Profession in Medical Texts using Flair and BERT 747-757
  Fazlourrahman Balouchzahi, Grigori Sidorov, Hosahalli Lakshmaiah Shashirekha
• BERT Representations to Identify Professions and Employment Statuses in Health data 758-769
  José-Alberto Mesa-Murgado, Pilar López- Úbeda, Manuel-Carlos Díaz-Galiano, M. Teresa Martín-Valdivia, L. Alfonso Ureña-López
• Everything Transformers: Recognition, Classification and Normalisation of Professions and Family Relations 770-775
  Salvador Medina Herrera, Jordi Turmo Borras
• Vicomtech at MEDDOPROF: Automatic Information Extraction and Disambiguation in Clinical Text 776-787
  Elena Zotova, Aitor García-Pablos, Montse Cuadros
• Occupation Recognition and Normalization in Clinical Notes 788-795
  Kaushik Acharya
• Spanish Pre-Trained Language Models for HealthCare Industry 796-802
  Jalaj Harkawat, Tejas Vaidhya
• BERT and Approximate String Matching for Automatic Recognition and Normalization of Professions in Spanish Medical Documents 803-813
  Víctor Suárez-Paniagua, Arlene Casey

Humour and Irony

Humor Analysis based on Human Annotation (HAHA 2021)

• TECHSSN at HAHA @ IberLEF 2021: Humor Detection and Funniness Score Prediction using Deep Learning Techniques 814-820
  Ayush Nanda, Abrit Pal Singh, Aviansh Gupta
• BERT and SHAP for Humor Analysis based on Human Annotation 821-828
  Guillem García Subies, David Betancur Sánchez, Alejandro Vaca
• UMUTeam at HAHA 2021: Linguistic Features and Transformers for Analysing Spanish Humor. The What, the How, and to Whom 829-836
  José Antonio García-Díaz, Rafael Valencia-García
• Humor Detection in Spanish Tweets Using Neural Network 837-843
  Rida Miraj, Masaki Aono
• Applying Pre-trained Model and Fine-tune to Conduct Humor Analysis on Spanish Tweets 844-851
  Yongyi Kui
• RoMa at HAHA-2021: Deep Reinforcement Learning to Improve a Transformed-based Model for Humor Detection 852-859
  Mariano Rodriguez, Reynier Ortega-Bueno, Paolo Rosso
• ColBERT at HAHA 2021: Parallel Neural Networks for Rating Humor in Spanish Tweets 860-866
  Issa Annamoradnejad, Gohar Zoghi
• Humor Analysis in Spanish Tweets with Multiple Strategies 867-874
  Lianxi Wang, Xiaotian Lin, Nankai Lin, Yingwen Fu, Kaiying Wu, Jiajun Wu
• N&&N at HAHA@IberLEF2021: Determining the Mechanism of Spanish Tweets using ColBERT 875-882
  Nedaa Alsalman, Noor Ennab
• HAHA@IberLEF2021: Humor Analysis using Ensembles of Simple Transformers 883-890
  Karish Grover, Tanishq Goel

Irony Detection in Portuguese (IDPT)

• Irony Detection in the Portuguese Language using BERT 891-897
  Shengyi Jiang, Chuwei Chen, Nankai Lin, Zhuolin Chen, Jinyi Chen
• CISUC at IDPT2021: Traditional and Deep Learning for Irony Detection in Portuguese 898-909
  Hugo Gonzalo Oliveira, José Pereira, Guilherme Cruz
• GuillemGSubies at IDPT2021: Identifying Irony in Portuguese with BERT 910-916
  Guillem García Subies
• PiLN IDPT 2021: Irony Detection in Portuguese Texts with Superficial Features and Embeddings 917-924
  Rafael T. Anchieta, Francisco A. Ricarte Neto, Jeziel C. Marinho, Kauan V. do Nascimento, Raimundo S. Moura
• TeamUFPR at IDPT 2021: Equalizing a Strategy Using Machine Learning for Two Types of Data in Detecting Irony 925-932
  Tiago Heinrich, Fabrício Ceschin, Felipe Marchi
• SiDi-NLP-Team at IDPT2021: Irony Detection in Portuguese 2021 933-939
  Almeida Neto Antonio Manoel dos Santos, Osti Bruna Almeida, Azevedo Camila de Araujo, Nobrega Fernando Antonio Asevedo, Brum Henrico Bertini, Peinado Luis Heriberto Osinaga, Bittencourt Marciele de Menezes, da Silva Nataly Leopoldina Patti, Cortes Priscila Osorio

Lexical Acquisition

Automatic Detection of Borrowings (ADoBo)

• BERT4EVER at ADoBo 2021: Detection of Borrowings in the Spanish Language Using Pseudo-label Technology 940-946
  Shengyi Jiang, Tong Cui, Yingwen Fu, Nankai Lin, Jieyi Xiang
• ADoBo 2021: The futility of STILTs for the classification of lexical borrowings in Spanish 947-955
  Javier de la Rosa