Table of Contents

• IberLEF 2021 Overview: Natural Language Processing for Iberian LanguagesJulio Gonzalo, Manuel Montes-y-Gómez, Paolo Rosso. 1-15 [doi]
• GSI-UPM at IberLEF2021: Emotion Analysis of Spanish Tweets by Fine-tuning the XLM-RoBERTa Language ModelDaniel Vera, Oscar Araque, Carlos Angel Iglesias. 16-26 [doi]
• Sentiment Analysis for Spanish Tweets based on Continual Pre-training and Data AugmentationYingwen Fu, Ziyu Yang, Nankai Lin, Lianxi Wang, Feng Chen. 27-34 [doi]
• Emotion Detection for Spanish with Data Augmentation and Transformer-Based ModelsHongxin Luo. 35-42 [doi]
• URJC-Team at EmoEvalEs 2021: BERT for Emotion Classification in Spanish TweetsJorge Alberto Flores Sanchez, Soto Montalvo-Herranz, Raquel Martínez-Unanue 0001. 43-48 [doi]
• HAHA at EmoEvalEs 2021: Sentiment Analysis in Spanish Tweets with Cross-lingual ModelKun Li. 49-58 [doi]
• UMUTeam at EmoEvalEs 2021: Emotion Analysis for Spanish based on Explainable Linguistic Features and TransformersJosé Antonio García-Díaz, Ricardo Colomo Palacios, Rafael Valencia-García. 59-71 [doi]
• RETUYT-InCo at EmoEvalEs 2021: Multiclass Emotion Classification in SpanishLuis Chiruzzo, Aiala Rosá. 72-77 [doi]
• Emotion Detection for Spanish by Combining LASER Embeddings, Topic Information, and Offense FeaturesFedor Vitiugin, Giorgio Barnabò. 78-85 [doi]
• Applying Sentiment Analysis on Spanish Tweets Using BETOAriadna de Arriba, Marc Oriol, Xavier Franch. 86-93 [doi]
• Emotion Classification for Spanish with XLM-RoBERTa and TextCNNSuidong Qu, Yanhua Yang, Qinyu Que. 94-100 [doi]
• Emotion Analysis for Spanish Tweets: The Model based on XLM-RoBERTa and Bi-GRUYuanchi Qu, Shuangjun Jia, Yanjie Zhang. 101-109 [doi]
• An Embeddings Based Recommendation System for Mexican Tourism. Submission to the REST-MEX Shared Task at IberLEF 2021Jean Arreola, Lizeth Garcia, Jorge Ramos-Zavaleta, Adrian Rodriguez. 110-117 [doi]
• Naive Features for Sentiment Analysis on Mexican Touristic Opinions TextsGabriela Carmona-Sanchez, Angel Carmona, Miguel A. Alvarez-Carmona. 118-126 [doi]
• DCI-UG participation at REST-MEX 2021: A Transfer Learning Approach for Sentiment Analysis in SpanishGeovanni Velazquez Medina, Delia Irazu Hernandez Farias. 127-133 [doi]
• A Recommendation System for Tourism Based on Semantic Representations and Statistical Relational LearningEliseo Morales-Gonzalez, David Torres-Moreno, Alexandra Ehrlich-Lopez, Mauricio Toledo-Acosta, Bolivar Martinez-Zaldivar, Jorge Hermosillo Valadez. 134-148 [doi]
• Semantic Representations of Words and Automatic Keywords Extraction for Sentiment Analysis of Tourism ReviewsMauricio Toledo-Acosta, Bolivar Martinez-Zaldivar, Alexandra Ehrlich-Lopez, Eliseo Morales-Gonzalez, David Torres-Moreno, Jorge Hermosillo Valadez. 149-164 [doi]
• Bert-based Approach for Sentiment Analysis of Spanish Reviews from TripAdvisorJuan Vásquez, Helena Gómez-Adorno, Gemma Bel Enguix. 165-170 [doi]
• Techkatl: A Sentiment Analysis Model to Identify the Polarity of Mexican's Tourism OpinionsEduardo Roldán Reyes. 171-178 [doi]
• Sentiment Classification for Mexican Tourist Reviews based on K-NN and Jaccard DistanceAlejandra Romero-Cantón, Ramón Aranda. 179-184 [doi]
• Cascade of Biased Two-class Classifiers for Multi-class Sentiment AnalysisJosé Ignacio Abreu, Pedro Mirabal, Adrián Ballester-Espinosa. 185-191 [doi]
• MultiAzterTest@VaxxStance-IberLEF 2021: Identifying Stances with Language Models and Linguistic FeaturesItziar Gonzalez-Dios, Kepa Bengoetxea. 192-201 [doi]
• SQYQP@Vaxxstance: Stance Detection for the Antivaxxers MovementJesus Calleja, Ariane Mendez. 202-209 [doi]
• WordUp! at VaxxStance 2021: Combining Contextual Information with Textual and Dependency-Based Syntactic Features for Stance DetectionMirko Lai, Alessandra Teresa Cignarella, Livio Finos, Andrea Sciandra. 210-232 [doi]
• Transformer based Offensive Language Identification in SpanishSreelakshmi K, Premjith B, K. P. Soman. 233-239 [doi]
• Using Lexical Resources for Detecting Offensiveness in Mexican Spanish TweetsDaniel Abraham Huerta-Velasco, Hiram Calvo. 240-250 [doi]
• Transformers Pipeline for Offensiveness Detection in Mexican Spanish Social MediaVictor Gómez-Espinosa, Victor Muñiz-Sanchez, Adrián Pastor López-Monroy. 251-258 [doi]
• BERT's Auxiliary Sentence focused on Word's Information for Offensiveness DetectionFernando Sánchez-Vega, Adrián Pastor López-Monroy. 259-269 [doi]
• DCCD-INFOTEC at MeOffendEs@IberLEF21 Subtask 3: A Transfer Learning Approach Based on EvoMSA's Stacked GeneralizationJosé J. Calderón, Eric Sadit Tellez, Mario Graff. 270-280 [doi]
• Non-contextual Binary Classification for Mexican Spanish with XLM and CNNSuidong Qu, Qinyu Que, Shuangjun Jia. 281-287 [doi]
• Detecting Offensiveness in Social Network CommentsMarta Navarrón García, Isabel Segura-Bedmar. 288-312 [doi]
• Evaluation of Intermediate Pre-training for the Detection of Offensive LanguageSegun Taofeek Aroyehun, Alexander F. Gelbukh. 313-320 [doi]
• YNU qyc at MeOffendEs@IberLEF 2021: The XLM-RoBERTa and LSTM for Identifying Offensive TweetsYuanchi Qu, Yanhua Yang, Gang Wang. 321-328 [doi]
• UMUTeam at MeOffendEs 2021: Ensemble Learning for Offensive Language Identification using Linguistic Features, Fine-grained Negation, and TransformersJosé Antonio García-Díaz, Salud María Jiménez Zafra, Rafael Valencia-García. 329-345 [doi]
• Automatic Sexism Detection with Multilingual Transformer Models AIT FHSTP@EXIST2021Mina Schütz, Jaqueline Boeck, Daria Liakhovets, Djordje Slijepcevic, Armin Kirchknopf, Manuel Hecht, Johannes Bogensperger, Sven Schlarb, Alexander Schindler, Matthias Zeppelzauer. 346-355 [doi]
• Sexism Prediction in Spanish and English Tweets Using Monolingual and Multilingual BERT and Ensemble ModelsAngel Felipe Magnossão de Paula, Roberto Fray da Silva, Ipek Baris Schlicht. 356-373 [doi]
• Sexism identification in Social Networks EXIST Task proposalÁlvaro Faubel Sanchis, Clara Martí Torregrosa. 374-380 [doi]
• Sexism Identification using BERT and Data Augmentation - EXIST2021Sabur Butt, Noman Ashraf, Grigori Sidorov, Alexander F. Gelbukh. 381-389 [doi]
• Transformer Ensembles for Sexism DetectionLily Davies, Marta Baldracchi, Carlo Alessandro Borella, Konstantinos Perifanos. 390-394 [doi]
• EXIST2021: Detecting Sexism with Transformers and Translation-Augmented DataGuillem García Subies. 395-401 [doi]
• Knowledge-based Neural Framework for Sexism Detection and ClassificationHarika Abburi, Shradha Sehgal, Himanshu Maheshwari, Vasudeva Varma. 402-414 [doi]
• Automatic Detection of Sexism in Social Media with a Multilingual ApproachLutfiye Seda Mut Altin, Horacio Saggion. 415-419 [doi]
• MB-Courage @ EXIST: GCN Classification for Sexism Identification in Social NetworksRodrigo Souza Wilkens, Dimitri Ognibene. 420-430 [doi]
• Combining Transformer-Based Models with Traditional Machine Learning Approaches for Sexism Identification in Social Networks at EXIST 2021Ezequiel Lopez-Lopez, Jorge Carrillo-de-Albornoz, Laura Plaza. 431-441 [doi]
• A Simple Voting Mechanism for Online Sexist Content IdentificationChao Feng. 442-448 [doi]
• MultiAzterTest@Exist-IberLEF 2021: Linguistically Motivated Sexism IdentificationKepa Bengoetxea, Itziar Gonzalez-Dios. 449-457 [doi]
• A Multi-Task and Multilingual Model for Sexism Identification in Social NetworksFrancisco J. Rodríguez-Sanchez, Jorge Carrillo-de-Albornoz, Laura Plaza. 458-468 [doi]
• QMUL-SDS at EXIST: Leveraging Pre-trained Semantics and Lexical Features for Multilingual Sexism Detection in Social NetworksAiqi Jiang, Arkaitz Zubiaga. 469-483 [doi]
• System Description for EXIST Shared Task at IberLEF 2021: Automatic Misogyny Identification Using Pretrained TransformersIgnacio Talavera, David Carreto Fidalgo, Daniel Vila-Suero. 484-490 [doi]
• Sexism Identification in Social Networks using a Multi-Task Learning SystemFlor Miriam Plaza del Arco, M. Dolores Molina-González, Luis Alfonso Ureña López, María-Teresa Martín Valdivia. 491-499 [doi]
• Sexism Detection in English and Spanish TweetsRitesh Kumar, Soumya Pal, Rajendra Pamula. 500-505 [doi]
• EXIST 2021: Inducing Bias in Deep Learning ModelsIsmael Garrido-Muñoz, Arturo Montejo Ráez, Fernando Javier Martínez Santiago. 506-511 [doi]
• UMUTeam at EXIST 2021: Sexist Language Identification based on Linguistic Features and Transformers in Spanish and EnglishJosé Antonio García-Díaz, Ricardo Colomo Palacios, Rafael Valencia-García. 512-521 [doi]
• UNEDBiasTeam at IberLEF 2021's EXIST Task: Detecting Sexism Using Bias TechniquesFrancisco-Javier Rodrigo-Ginés, Jorge Carrillo-de-Albornoz, Laura Plaza. 522-532 [doi]
• GTH-UPM at DETOXIS-IberLEF 2021: Automatic Detection of Toxic Comments in Social NetworksSergio Esteban Romero, Ricardo Kleinlein, Cristina Luna Jiménez, Juan Manuel Montero, Fernando Fernández-Martínez. 533-546 [doi]
• AI-UPV at IberLEF-2021 DETOXIS task: Toxicity Detection in Immigration-Related Web News Comments Using Transformers and Statistical ModelsAngel Felipe Magnossão de Paula, Ipek Baris Schlicht. 547-566 [doi]
• "DEMBO" at IberLEF-2021 DETOXIS task: Toxicity Analysis in comments using Machine Learning ModelsÁlvaro Mazcuñán, Miquel Marín. 567-572 [doi]
• Alejandro Mosquera at DETOXIS 2021: Deep Learning Approaches to Toxicity Detection in Spanish Social Media TextsAlejandro Mosquera López. 573-579 [doi]
• SINAI at IberLEF-2021 DETOXIS task: Exploring Features as Tasks in a Multi-task Learning Approach to Detecting Toxic CommentsFlor Miriam Plaza del Arco, M. Dolores Molina-González, Luis Alfonso Ureña López, María-Teresa Martín Valdivia. 580-590 [doi]
• GuillemGSubies at IberLEF-2021 DETOXIS task: Detecting Toxicity with Spanish BERTGuillem García Subies. 591-598 [doi]
• Bribones tras la esmeralda perdida@FakeDeS 2021: Fake news detection based on random forests, k-nearest neighbors, and n-grams for a Spanish corporaVictor Lomas Barrie, Nora Perez, Victor Manuel Lara, Antonio Neme. 599-608 [doi]
• CiTIUS at FakeDeS 2021: A Hybrid Strategy for Fake News DetectionPablo Gamallo. 609-614 [doi]
• YETI at FakeDeS 2021: Fake News Detection in Spanish with ALBERTHongxin Luo. 615-620 [doi]
• GDUF_DM at FakeDeS 2021: Spanish Fake News Detection with BERT and Sample MemoryXixuan Huang, Jieying Xiong, Shengyi Jiang. 621-629 [doi]
• HAHA at FakeDeS 2021: A Fake News Detection Method Based on TF-IDF and Ensemble Machine LearningKun Li. 630-638 [doi]
• ForceNLP at FakeDeS 2021: Analysis of Text Features Applied to Fake News Detection in SpanishJorge Reyes-Magaña, Luis Enrique Argota Vega. 639-645 [doi]
• LCAD - UFES at FakeDeS 2021: Fake News Detection Using Named Entity Recognition and Part-of-Speech SequencesMarcos A. Spalenza, Leopoldo Lusquino Filho, Felipe M. G. França, Priscila M. V. Lima, Elias de Oliveira. 646-654 [doi]
• zk15120170770 at FakeDeS 2021: Fake news detection based on Pre-training ModelKun Zhao, Siyao Zhou, Weihua Li 0004. 655-660 [doi]
• TSIA team at FakeDeS 2021: Fake News Detection in Spanish Using Multi-Model Ensemble LearningZhengyi Guan. 661-667 [doi]
• IXA at eHealth-KD Challenge 2021: Generic Sequence Labelling as Relation Extraction ApproachEdgar Andrés. 668-674 [doi]
• JAD at eHealth-KD Challenge 2021: Simple Neural Network with BERT for Joint Classification of Key-Phrases and RelationsJosé Gabriel Navarro Comabella, Jorge Daniel Valle Diaz, Alberto Helguera Fleitas. 675-682 [doi]
• PUCRJ-PUCPR-UFMG at eHealth-KD Challenge 2021: A Multilingual BERT-based System for Joint Entity Recognition and Relation ExtractionLucas Pavanelli, Elisa Terumi Rubel Schneider, Yohan Bonescki Gumiel, Thiago Castro Ferreira, Lucas Ferro Antunes de Oliveira, João Vitor Andrioli de Souza, Giovanni Pazini Meneghel Paiva, Lucas Emanuel Silva e Oliveira, Claudia Maria Cabral Moro, Emerson Cabrera Paraiso, Adriana Pagano. 683-691 [doi]
• UH-MMM at eHealth-KD Challenge 2021Loraine Monteagudo-García, Amanda Marrero-Santos, Manuel Santiago Fernández-Arias, Hian Cañizares-Diaz. 692-702 [doi]
• uhKD4 at eHealth-KD Challenge 2021: Deep Learning Approaches for Knowledge Discovery from Spanish Biomedical DocumentsDayany Alfaro-González, Dalianys Pérez-Perera, Gilberto González-Rodríguez, Antonio Jesús Otaño-Barrera, Rocío Cruz Linares. 703-711 [doi]
• Vicomtech at eHealth-KD Challenge 2021: Deep Learning Approaches to Model Health-related Text in SpanishAitor García Pablos, Naiara Pérez, Montse Cuadros. 712-724 [doi]
• Yunnan-1 at eHealth-KD Challenge 2021: Deep-Learning Methods for Entity Recognition in Medical TextMaoqin Yang. 725-730 [doi]
• Yunnan-Deep at eHealth-KD Challenge 2021: Deep Learning Model for Entity Recognition in Spanish DocumentsZhengyi Guan, Renyuan Liu. 731-736 [doi]
• Boosting Transformers for Job Expression Extraction and Classification in a Low-Resource SettingLukas Lange, Heike Adel, Jannik Strötgen. 737-746 [doi]
• ADOP FERT-Automatic Detection of Occupations and Profession in Medical Texts using Flair and BERTFazlourrahman Balouchzahi, Grigori Sidorov, Hosahalli Lakshmaiah Shashirekha. 747-757 [doi]
• BERT Representations to Identify Professions and Employment Statuses in Health dataJosé-Alberto Mesa-Murgado, Pilar López-Úbeda, Manuel Carlos Díaz-Galiano, María-Teresa Martín Valdivia, Luis Alfonso Ureña López. 758-769 [doi]
• Everything Transformers: Recognition, Classification and Normalisation of Professions and Family RelationsSalvador Medina Herrera, Jordi Turmo Borras. 770-775 [doi]
• Vicomtech at MEDDOPROF: Automatic Information Extraction and Disambiguation in Clinical TextElena Zotova, Aitor García Pablos, Montse Cuadros. 776-787 [doi]
• Occupation Recognition and Normalization in Clinical NotesKaushik Acharya. 788-795 [doi]
• Spanish Pre-Trained Language Models for HealthCare IndustryJalaj Harkawat, Tejas Vaidhya. 796-802 [doi]
• BERT and Approximate String Matching for Automatic Recognition and Normalization of Professions in Spanish Medical DocumentsVíctor Suárez-Paniagua, Arlene Casey. 803-813 [doi]
• TECHSSN at HAHA @ IberLEF 2021: Humor Detection and Funniness Score Prediction using Deep Learning TechniquesAyush Nanda, Abrit Pal Singh, Aviansh Gupta. 814-820 [doi]
• BERT and SHAP for Humor Analysis based on Human AnnotationGuillem García Subies, David Betancur Sánchez, Alejandro Vaca. 821-828 [doi]
• UMUTeam at HAHA 2021: Linguistic Features and Transformers for Analysing Spanish Humor. The What, the How, and to WhomJosé Antonio García-Díaz, Rafael Valencia-García. 829-836 [doi]
• Humor Detection in Spanish Tweets Using Neural NetworkRida Miraj, Masaki Aono. 837-843 [doi]
• Applying Pre-trained Model and Fine-tune to Conduct Humor Analysis on Spanish TweetsYongyi Kui. 844-851 [doi]
• RoMa at HAHA-2021: Deep Reinforcement Learning to Improve a Transformed-based Model for Humor DetectionMariano Rodriguez, Reynier Ortega Bueno, Paolo Rosso. 852-859 [doi]
• ColBERT at HAHA 2021: Parallel Neural Networks for Rating Humor in Spanish TweetsIssa Annamoradnejad, Gohar Zoghi. 860-866 [doi]
• Humor Analysis in Spanish Tweets with Multiple StrategiesLianxi Wang, Xiaotian Lin, Nankai Lin, Yingwen Fu, Kaiying Wu, Jiajun Wu. 867-874 [doi]
• N&&N at HAHA@IberLEF2021: Determining the Mechanism of Spanish Tweets using ColBERTNedaa Alsalman, Noor Ennab. 875-882 [doi]
• HAHA@IberLEF2021: Humor Analysis using Ensembles of Simple TransformersKarish Grover, Tanishq Goel. 883-890 [doi]
• Irony Detection in the Portuguese Language using BERTShengyi Jiang, Chuwei Chen, Nankai Lin, Zhuolin Chen, Jinyi Chen. 891-897 [doi]
• CISUC at IDPT2021: Traditional and Deep Learning for Irony Detection in PortugueseHugo Gonzalo Oliveira, José Pereira, Guilherme Cruz. 898-909 [doi]
• GuillemGSubies at IDPT2021: Identifying Irony in Portuguese with BERTGuillem García Subies. 910-916 [doi]
• PiLN IDPT 2021: Irony Detection in Portuguese Texts with Superficial Features and EmbeddingsRafael T. Anchiêta, Francisco A. Ricarte Neto, Jeziel C. Marinho, Kauan V. do Nascimento, Raimundo Santos Moura. 917-924 [doi]
• TeamUFPR at IDPT 2021: Equalizing a Strategy Using Machine Learning for Two Types of Data in Detecting IronyTiago Heinrich, Fabrício Ceschin, Felipe Marchi. 925-932 [doi]
• SiDi-NLP-Team at IDPT2021: Irony Detection in Portuguese 2021Antonio Manoel dos Santos Almeida Neto, Bruna Almeida Osti, Camila de Araujo Azevedo, Fernando Antônio Asevedo Nóbrega, Henrico Bertini Brum, Luis Heriberto Osinaga Peinado, Marciele de Menezes Bittencourt, Nataly Leopoldina Patti da Silva, Priscila Osório Côrtes. 933-939 [doi]
• BERT4EVER at ADoBo 2021: Detection of Borrowings in the Spanish Language Using Pseudo-label TechnologyShengyi Jiang, Tong Cui, Yingwen Fu, Nankai Lin, Jieyi Xiang. 940-946 [doi]
• ADoBo 2021: The futility of STILTs for the classification of lexical borrowings in SpanishJavier de la Rosa. 947-955 [doi]