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ORCIDIberLEF@SEPLN 2021: Málaga, Spain
- Manuel Montes, Paolo Rosso, Julio Gonzalo, Mario Ezra Aragón, Rodrigo Agerri, Miguel Ángel Álvarez-Carmona, Elena Álvarez Mellado, Jorge Carrillo-de-Albornoz, Luis Chiruzzo, Larissa A. de Freitas, Helena Gómez-Adorno, Yoan Gutiérrez, Salud María Jiménez-Zafra, Salvador Lima, Flor Miriam Plaza del Arco, Mariona Taulé:
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2021) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2021), XXXVII International Conference of the Spanish Society for Natural Language Processing., Málaga, Spain, September, 2021. CEUR Workshop Proceedings 2943, CEUR-WS.org 2021 - Julio Gonzalo, Manuel Montes-y-Gómez, Paolo Rosso:
IberLEF 2021 Overview: Natural Language Processing for Iberian Languages. 1-15
Emotion classification (EmoEvalEs)
- Daniel Vera, Oscar Araque, Carlos Angel Iglesias:
GSI-UPM at IberLEF2021: Emotion Analysis of Spanish Tweets by Fine-tuning the XLM-RoBERTa Language Model. 16-26 - Yingwen Fu, Ziyu Yang, Nankai Lin, Lianxi Wang, Feng Chen:
Sentiment Analysis for Spanish Tweets based on Continual Pre-training and Data Augmentation. 27-34 - Hongxin Luo:
Emotion Detection for Spanish with Data Augmentation and Transformer-Based Models. 35-42 - Jorge Alberto Flores Sanchez, Soto Montalvo-Herranz, Raquel Martínez-Unanue:
URJC-Team at EmoEvalEs 2021: BERT for Emotion Classification in Spanish Tweets. 43-48 - Kun Li:
HAHA at EmoEvalEs 2021: Sentiment Analysis in Spanish Tweets with Cross-lingual Model. 49-58 - José Antonio García-Díaz, Ricardo Colomo Palacios, Rafael Valencia-García:
UMUTeam at EmoEvalEs 2021: Emotion Analysis for Spanish based on Explainable Linguistic Features and Transformers. 59-71 - Luis Chiruzzo, Aiala Rosá:
RETUYT-InCo at EmoEvalEs 2021: Multiclass Emotion Classification in Spanish. 72-77 - Fedor Vitiugin, Giorgio Barnabò:
Emotion Detection for Spanish by Combining LASER Embeddings, Topic Information, and Offense Features. 78-85 - Ariadna de Arriba, Marc Oriol, Xavier Franch:
Applying Sentiment Analysis on Spanish Tweets Using BETO. 86-93 - Suidong Qu, Yanhua Yang, Qinyu Que:
Emotion Classification for Spanish with XLM-RoBERTa and TextCNN. 94-100 - Yuanchi Qu, Shuangjun Jia, Yanjie Zhang:
Emotion Analysis for Spanish Tweets: The Model based on XLM-RoBERTa and Bi-GRU. 101-109
Recommendation System for Text Mexican Tourism (REST-MEX)
- Jean Arreola-Trapala, Lizeth García, Jorge Ramos-Zavaleta, Adrian Rodríguez:
An Embeddings Based Recommendation System for Mexican Tourism. Submission to the REST-MEX Shared Task at IberLEF 2021. 110-117 - Gabriela Carmona-Sánchez, Ángel Carmona, Miguel Ángel Álvarez-Carmona:
Naive Features for Sentiment Analysis on Mexican Touristic Opinions Texts. 118-126 - Geovanni Velazquez Medina, Delia Irazú Hernández Farías:
DCI-UG participation at REST-MEX 2021: A Transfer Learning Approach for Sentiment Analysis in Spanish. 127-133 - Eliseo Morales-González, David Torres-Moreno, Alexandra Ehrlich-Lopez, Mauricio Toledo-Acosta, Bolivar Martinez-Zaldivar, Jorge Hermosillo Valadez:
A Recommendation System for Tourism Based on Semantic Representations and Statistical Relational Learning. 134-148 - Mauricio Toledo-Acosta, Bolivar Martinez-Zaldivar, Alexandra Ehrlich-Lopez, Eliseo Morales-González, David Torres-Moreno, Jorge Hermosillo Valadez:
Semantic Representations of Words and Automatic Keywords Extraction for Sentiment Analysis of Tourism Reviews. 149-164 - Juan Vásquez, Helena Gómez-Adorno, Gemma Bel-Enguix:
Bert-based Approach for Sentiment Analysis of Spanish Reviews from TripAdvisor. 165-170 - Eduardo Roldán Reyes:
Techkatl: A Sentiment Analysis Model to Identify the Polarity of Mexican's Tourism Opinions. 171-178 - Alejandra Romero-Cantón, Ramón Aranda:
Sentiment Classification for Mexican Tourist Reviews based on K-NN and Jaccard Distance. 179-184 - José Ignacio Abreu, Pedro Mirabal, Adrián Ballester-Espinosa:
Cascade of Biased Two-class Classifiers for Multi-class Sentiment Analysis. 185-191
Going Beyond Text in Cross-lingual Stance Detection (VaxxStance)
- Itziar Gonzalez-Dios, Kepa Bengoetxea:
MultiAzterTest@VaxxStance-IberLEF 2021: Identifying Stances with Language Models and Linguistic Features. 192-201 - Jesus Calleja, Ariane Méndez:
SQYQP@Vaxxstance: Stance Detection for the Antivaxxers Movement. 202-209 - Mirko Lai, Alessandra Teresa Cignarella, Livio Finos, Andrea Sciandra:
WordUp! at VaxxStance 2021: Combining Contextual Information with Textual and Dependency-Based Syntactic Features for Stance Detection. 210-232
Offensive Language Detection in Spanish Variants (MeOffendEs@IberLEF 2021)
- Sreelakshmi K, Premjith B, K. P. Soman:
Transformer based Offensive Language Identification in Spanish. 233-239 - Daniel Abraham Huerta-Velasco, Hiram Calvo:
Using Lexical Resources for Detecting Offensiveness in Mexican Spanish Tweets. 240-250 - Victor Gómez-Espinosa, Victor Muñiz-Sanchez, Adrián Pastor López-Monroy:
Transformers Pipeline for Offensiveness Detection in Mexican Spanish Social Media. 251-258 - Fernando Sánchez-Vega, Adrián Pastor López-Monroy:
BERT's Auxiliary Sentence focused on Word's Information for Offensiveness Detection. 259-269 - José J. Calderón, Eric Sadit Tellez, Mario Graff:
DCCD-INFOTEC at MeOffendEs@IberLEF21 Subtask 3: A Transfer Learning Approach Based on EvoMSA's Stacked Generalization. 270-280 - Suidong Qu, Qinyu Que, Shuangjun Jia:
Non-contextual Binary Classification for Mexican Spanish with XLM and CNN. 281-287 - Marta Navarrón García, Isabel Segura-Bedmar:
Detecting Offensiveness in Social Network Comments. 288-312 - Segun Taofeek Aroyehun, Alexander F. Gelbukh:
Evaluation of Intermediate Pre-training for the Detection of Offensive Language. 313-320 - Yuanchi Qu, Yanhua Yang, Gang Wang:
YNU qyc at MeOffendEs@IberLEF 2021: The XLM-RoBERTa and LSTM for Identifying Offensive Tweets. 321-328 - José Antonio García-Díaz, Salud María Jiménez-Zafra, Rafael Valencia-García:
UMUTeam at MeOffendEs 2021: Ensemble Learning for Offensive Language Identification using Linguistic Features, Fine-grained Negation, and Transformers. 329-345
sEXism Identification in Social neTworks (EXIST)
- Mina Schütz, Jaqueline Boeck, Daria Liakhovets, Djordje Slijepcevic, Armin Kirchknopf, Manuel Hecht, Johannes Bogensperger, Sven Schlarb, Alexander Schindler, Matthias Zeppelzauer:
Automatic Sexism Detection with Multilingual Transformer Models AIT FHSTP@EXIST2021. 346-355 - Angel Felipe Magnossão de Paula, Roberto Fray da Silva, Ipek Baris Schlicht:
Sexism Prediction in Spanish and English Tweets Using Monolingual and Multilingual BERT and Ensemble Models. 356-373 - Álvaro Faubel Sanchis, Clara Martí Torregrosa:
Sexism identification in Social Networks EXIST Task proposal. 374-380 - Sabur Butt, Noman Ashraf, Grigori Sidorov, Alexander F. Gelbukh:
Sexism Identification using BERT and Data Augmentation - EXIST2021. 381-389 - Lily Davies, Marta Baldracchi, Carlo Alessandro Borella, Konstantinos Perifanos:
Transformer Ensembles for Sexism Detection. 390-394 - Guillem García Subies:
EXIST2021: Detecting Sexism with Transformers and Translation-Augmented Data. 395-401 - Harika Abburi, Shradha Sehgal, Himanshu Maheshwari, Vasudeva Varma:
Knowledge-based Neural Framework for Sexism Detection and Classification. 402-414 - Lutfiye Seda Mut Altin, Horacio Saggion:
Automatic Detection of Sexism in Social Media with a Multilingual Approach. 415-419 - Rodrigo Souza Wilkens, Dimitri Ognibene:
MB-Courage @ EXIST: GCN Classification for Sexism Identification in Social Networks. 420-430 - Ezequiel Lopez-Lopez, Jorge Carrillo-de-Albornoz, Laura Plaza:
Combining Transformer-Based Models with Traditional Machine Learning Approaches for Sexism Identification in Social Networks at EXIST 2021. 431-441 - Chao Feng:
A Simple Voting Mechanism for Online Sexist Content Identification. 442-448 - Kepa Bengoetxea, Itziar Gonzalez-Dios:
MultiAzterTest@Exist-IberLEF 2021: Linguistically Motivated Sexism Identification. 449-457 - Francisco J. Rodríguez-Sanchez, Jorge Carrillo-de-Albornoz, Laura Plaza:
A Multi-Task and Multilingual Model for Sexism Identification in Social Networks. 458-468 - Aiqi Jiang, Arkaitz Zubiaga:
QMUL-SDS at EXIST: Leveraging Pre-trained Semantics and Lexical Features for Multilingual Sexism Detection in Social Networks. 469-483 - Ignacio Talavera, David Carreto Fidalgo, Daniel Vila-Suero:
System Description for EXIST Shared Task at IberLEF 2021: Automatic Misogyny Identification Using Pretrained Transformers. 484-490 - Flor Miriam Plaza del Arco, M. Dolores Molina-González, Luis Alfonso Ureña López, María Teresa Martín-Valdivia:
Sexism Identification in Social Networks using a Multi-Task Learning System. 491-499 - Ritesh Kumar, Soumya Pal, Rajendra Pamula:
Sexism Detection in English and Spanish Tweets. 500-505 - Ismael Garrido-Muñoz, Arturo Montejo-Ráez, Fernando Javier Martínez Santiago:
EXIST 2021: Inducing Bias in Deep Learning Models. 506-511 - José Antonio García-Díaz, Ricardo Colomo Palacios, Rafael Valencia-García:
UMUTeam at EXIST 2021: Sexist Language Identification based on Linguistic Features and Transformers in Spanish and English. 512-521 - Francisco-Javier Rodrigo-Ginés, Jorge Carrillo-de-Albornoz, Laura Plaza:
UNEDBiasTeam at IberLEF 2021's EXIST Task: Detecting Sexism Using Bias Techniques. 522-532
DEtection of TOXicity in comments In Spanish (DETOXIS)
- Sergio Esteban Romero, Ricardo Kleinlein, Cristina Luna Jiménez, Juan Manuel Montero, Fernando Fernández Martínez:
GTH-UPM at DETOXIS-IberLEF 2021: Automatic Detection of Toxic Comments in Social Networks. 533-546 - Angel Felipe Magnossão de Paula, Ipek Baris Schlicht:
AI-UPV at IberLEF-2021 DETOXIS task: Toxicity Detection in Immigration-Related Web News Comments Using Transformers and Statistical Models. 547-566 - Álvaro Mazcuñán, Miquel Marín:
"DEMBO" at IberLEF-2021 DETOXIS task: Toxicity Analysis in comments using Machine Learning Models. 567-572 - Alejandro Mosquera López:
Alejandro Mosquera at DETOXIS 2021: Deep Learning Approaches to Toxicity Detection in Spanish Social Media Texts. 573-579 - Flor Miriam Plaza del Arco, M. Dolores Molina-González, Luis Alfonso Ureña López, María Teresa Martín Valdivia:
SINAI at IberLEF-2021 DETOXIS task: Exploring Features as Tasks in a Multi-task Learning Approach to Detecting Toxic Comments. 580-590 - Guillem García Subies:
GuillemGSubies at IberLEF-2021 DETOXIS task: Detecting Toxicity with Spanish BERT. 591-598
Fake News Detection in Spanish (FakeDeS)
- Victor Lomas Barrie, Nora Pérez, Victor Manuel Lara, Antonio Neme:
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 - Pablo Gamallo:
CiTIUS at FakeDeS 2021: A Hybrid Strategy for Fake News Detection. 609-614 - Hongxin Luo:
YETI at FakeDeS 2021: Fake News Detection in Spanish with ALBERT. 615-620 - Xixuan Huang, Jieying Xiong, Shengyi Jiang:
GDUF_DM at FakeDeS 2021: Spanish Fake News Detection with BERT and Sample Memory. 621-629 - Kun Li:
HAHA at FakeDeS 2021: A Fake News Detection Method Based on TF-IDF and Ensemble Machine Learning. 630-638 - Jorge Reyes-Magaña, Luis Enrique Argota Vega:
ForceNLP at FakeDeS 2021: Analysis of Text Features Applied to Fake News Detection in Spanish. 639-645 - Marcos A. Spalenza, Leopoldo Lusquino Filho, Felipe M. G. França, Priscila M. V. Lima, Elias de Oliveira:
LCAD - UFES at FakeDeS 2021: Fake News Detection Using Named Entity Recognition and Part-of-Speech Sequences. 646-654 - Kun Zhao, Siyao Zhou, Weihua Li:
zk15120170770 at FakeDeS 2021: Fake news detection based on Pre-training Model. 655-660 - Zhengyi Guan:
TSIA team at FakeDeS 2021: Fake News Detection in Spanish Using Multi-Model Ensemble Learning. 661-667
eHealth Knowledge Discovery (eHealth-KD 2021)
- Edgar Andrés:
IXA at eHealth-KD Challenge 2021: Generic Sequence Labelling as Relation Extraction Approach. 668-674 - José Gabriel Navarro Comabella, Jorge Daniel Valle Diaz, Alberto Helguera Fleitas:
JAD at eHealth-KD Challenge 2021: Simple Neural Network with BERT for Joint Classification of Key-Phrases and Relations. 675-682 - Lucas 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 S. Pagano:
PUCRJ-PUCPR-UFMG at eHealth-KD Challenge 2021: A Multilingual BERT-based System for Joint Entity Recognition and Relation Extraction. 683-691 - Loraine Monteagudo-García, Amanda Marrero-Santos, Manuel Santiago Fernández-Arias, Hian Cañizares-Diaz:
UH-MMM at eHealth-KD Challenge 2021. 692-702 - Dayany Alfaro-González, Dalianys Pérez-Perera, Gilberto González-Rodríguez, Antonio Jesús Otaño-Barrera, Rocío Cruz Linares:
uhKD4 at eHealth-KD Challenge 2021: Deep Learning Approaches for Knowledge Discovery from Spanish Biomedical Documents. 703-711 - Aitor García Pablos, Naiara Pérez, Montse Cuadros:
Vicomtech at eHealth-KD Challenge 2021: Deep Learning Approaches to Model Health-related Text in Spanish. 712-724 - Maoqin Yang:
Yunnan-1 at eHealth-KD Challenge 2021: Deep-Learning Methods for Entity Recognition in Medical Text. 725-730 - Zhengyi Guan, Renyuan Liu:
Yunnan-Deep at eHealth-KD Challenge 2021: Deep Learning Model for Entity Recognition in Spanish Documents. 731-736
MEDical DOcuments PROFessions recognition shared task (MEDDOPROF)
- Lukas Lange, Heike Adel, Jannik Strötgen:
Boosting Transformers for Job Expression Extraction and Classification in a Low-Resource Setting. 737-746 - Fazlourrahman Balouchzahi, Grigori Sidorov, Hosahalli Lakshmaiah Shashirekha:
ADOP FERT-Automatic Detection of Occupations and Profession in Medical Texts using Flair and BERT. 747-757 - José-Alberto Mesa-Murgado, Pilar López-Úbeda, Manuel Carlos Díaz-Galiano, María Teresa Martín Valdivia, Luis Alfonso Ureña López:
BERT Representations to Identify Professions and Employment Statuses in Health data. 758-769 - Salvador Medina Herrera, Jordi Turmo Borras:
Everything Transformers: Recognition, Classification and Normalisation of Professions and Family Relations. 770-775 - Elena Zotova, Aitor García Pablos, Montse Cuadros:
Vicomtech at MEDDOPROF: Automatic Information Extraction and Disambiguation in Clinical Text. 776-787 - Kaushik Acharya:
Occupation Recognition and Normalization in Clinical Notes. 788-795 - Jalaj Harkawat, Tejas Vaidhya:
Spanish Pre-Trained Language Models for HealthCare Industry. 796-802 - Víctor Suárez-Paniagua, Arlene Casey:
BERT and Approximate String Matching for Automatic Recognition and Normalization of Professions in Spanish Medical Documents. 803-813
Humor Analysis based on Human Annotation (HAHA 2021)
- Ayush Nanda, Abrit Pal Singh, Aviansh Gupta:
TECHSSN at HAHA @ IberLEF 2021: Humor Detection and Funniness Score Prediction using Deep Learning Techniques. 814-820 - Guillem García Subies, David Betancur Sánchez, Alejandro Vaca:
BERT and SHAP for Humor Analysis based on Human Annotation. 821-828 - José Antonio García-Díaz, Rafael Valencia-García:
UMUTeam at HAHA 2021: Linguistic Features and Transformers for Analysing Spanish Humor. The What, the How, and to Whom. 829-836 - Rida Miraj, Masaki Aono:
Humor Detection in Spanish Tweets Using Neural Network. 837-843 - Yongyi Kui:
Applying Pre-trained Model and Fine-tune to Conduct Humor Analysis on Spanish Tweets. 844-851 - Mariano Rodriguez, Reynier Ortega-Bueno, Paolo Rosso:
RoMa at HAHA-2021: Deep Reinforcement Learning to Improve a Transformed-based Model for Humor Detection. 852-859 - Issa Annamoradnejad, Gohar Zoghi:
ColBERT at HAHA 2021: Parallel Neural Networks for Rating Humor in Spanish Tweets. 860-866 - Lianxi Wang, Xiaotian Lin, Nankai Lin, Yingwen Fu, Kaiying Wu, Jiajun Wu:
Humor Analysis in Spanish Tweets with Multiple Strategies. 867-874 - Nedaa Alsalman, Noor Ennab:
N&&N at HAHA@IberLEF2021: Determining the Mechanism of Spanish Tweets using ColBERT. 875-882 - Karish Grover, Tanishq Goel:
HAHA@IberLEF2021: Humor Analysis using Ensembles of Simple Transformers. 883-890
Irony Detection in Portuguese (IDPT)
- Shengyi Jiang, Chuwei Chen, Nankai Lin, Zhuolin Chen, Jinyi Chen:
Irony Detection in the Portuguese Language using BERT. 891-897 - Hugo Gonzalo Oliveira, José Pereira, Guilherme Cruz:
CISUC at IDPT2021: Traditional and Deep Learning for Irony Detection in Portuguese. 898-909 - Guillem García Subies:
GuillemGSubies at IDPT2021: Identifying Irony in Portuguese with BERT. 910-916 - Rafael T. Anchiêta, Francisco A. Ricarte Neto, Jeziel C. Marinho, Kauan V. do Nascimento, Raimundo Santos Moura:
PiLN IDPT 2021: Irony Detection in Portuguese Texts with Superficial Features and Embeddings. 917-924 - Tiago Heinrich, Fabrício Ceschin, Felipe Marchi:
TeamUFPR at IDPT 2021: Equalizing a Strategy Using Machine Learning for Two Types of Data in Detecting Irony. 925-932 - Antonio 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:
SiDi-NLP-Team at IDPT2021: Irony Detection in Portuguese 2021. 933-939
Automatic Detection of Borrowings (ADoBo)
- Shengyi Jiang, Tong Cui, Yingwen Fu, Nankai Lin, Jieyi Xiang:
BERT4EVER at ADoBo 2021: Detection of Borrowings in the Spanish Language Using Pseudo-label Technology. 940-946 - Javier de la Rosa:
ADoBo 2021: The futility of STILTs for the classification of lexical borrowings in Spanish. 947-955
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