IberLEF 2020
Iberian Languages Evaluation Forum 2020

Table of Contents

• Preface
  
  
• Organization
  
  

Track 1: Lexical Analysis at SEPLN (ALexS)

• Overview of ALexS 2020: First Workshop on Lexical Analysis at SEPLN 1-6
  Jenny Ortiz-Zambrano, Arturo Montejo-Ráez
• Vicomtech at ALexS 2020: Unsupervised Complex Word Identification Based on Domain Frequency 7-14
  Elena Zotova, Montse Cuadros, Naiara Perez, Aitor García-Pablos
• General Lexicon-Based Complex Word Identification Extended with Stem N-grams and Morphological Engines 15-23
  Antonio Rico-Sulayes
• Hulat - ALexS CWI Task - CWI for Language and Learning Disabilities Applied to University Educational Texts 24-30
  Rodrigo Alarcón, Lourdes Moreno, Paloma Martínez

Track 2: Named Entity Recognition and Classification, and Universal Dependency Parsing of Spanish News (CAPITEL)

• Overview of CAPITEL Shared Tasks at IberLEF 2020:Named Entity Recognition and Universal Dependencies Parsing 31-38
  Jordi Porta-Zamorano, Luis Espinosa-Anke
• Combining Different Parsers and Datasets for CAPITEL UD Parsing 39-44
  Fernando Sánchez-León
• Projecting Heterogeneous Annotations for Named Entity Recognition 45-51
  Rodrigo Agerri, German Rigau
• Vicomtech at CAPITEL 2020: Facing Entity Recognition and Universal Dependency Parsing of Spanish News Articles with BERT Models 52-59
  Aitor García-Pablos, Montse Cuadros, Elena Zotova
• System Report of HW-TSC on the CAPITEL NER Evaluation 60-63
  Lizhi Lei, Minghan Wang, Hao Yang, Shiliang Sun, Ying Qin, Daimeng Wei
• Two Models for Named Entity Recognition in Spanish. Submission to the CAPITEL Shared Task at IberLEF 2020 64-70
  Elena Álvarez Mellado

Track 3: eHealth Knowledge Discovery (eHealth-KD)

• Overview eHealth-KD 2020 71-84
  Alejandro Piad-Morffis, Yoan Gutiérrez, Hian Cañizares-Diaz, Suilan Estevez-Velarde, Rafael Muñoz, Andrés Montoyo, Yudivián Almeida-Cruz
• TALP at eHealth-KD Challenge 2020 85-93
  Salvador Medina, Jordi Turmo
• ExSim at eHealth-KD Challenge 2020 94-101
  Zainab H Almugbel
• Vicomtech at eHealth-KD Challenge 2020 102-111
  Aitor García-Pablos, Naiara Perez, Montse Cuadros, Elena Zotova
• UH-MatCom at eHealth-KD Challenge 2020 112-124
  Juan Pablo Consuegra-Ayala, Manuel Palomar
• UH-MAJA-KD at eHealth-KD Challenge 2020 125-135
  Alejandro Rodríguez-Pérez, Ernesto Quevedo-Caballero, Jorge Mederos-Alvarado, Rocío Cruz-Linares, Juan Pablo Consuegra-Ayala
• HapLap at eHealth-KD Challenge 2020 136-140
  Sergio Santana, Alicia Pérez, Arantza Casillas
• SINAI at eHealth-KD Challenge 2020 141-150
  Pilar López-Úbeda, José Manuel Perea-Ortega, Manuel Carlos Díaz-Galiano, María Teresa Martín-Valdivia, Luis Alfonso Ureña-López
• IXA-NER-RE at eHealth-KD Challenge 2020 151-162
  Edgar Andrés, Óscar Sainz, Aitziber Atutxa, Oier Lopez de Lacalle

Track 4: Sentiment Analysis in Spanish (TASS)

• Overview of TASS 2020: Introducing Emotion Detection 163-170
  Manuel García-Vega, Manuel Carlos Díaz-Galiano, Miguel Ángel García-Cumbreras, Flor Miriam Plaza del Arco, Arturo Montejo-Ráez, Salud María Jiménez-Zafra, Eugenio Martínez Cámara, César Antonio Aguilar, Marco Antonio Sobrevilla Cabezudo, Luis Chiruzzo, Daniela Moctezuma
• Palomino-Ochoa at TASS 2020: Transformer-based Data Augmentation for Overcoming Few-Shot Learning 171-178
  Daniel Palomino, José Ochoa-Luna
• ELiRF-UPV at TASS 2020: TWilBERT for Sentiment Analysis and Emotion Detection in Spanish Tweets 179-186
  José-Ángel González, José Arias Moncho, Lluís-Felip Hurtado, Ferran Pla
• UMUTeam at TASS 2020: Combining Linguistic Features and Machine-learning Models for Sentiment Classification 187-196
  José Antonio García-Díaz, Ángela Almela, Rafael Valencia-García

Track 5: Factuality Analysis and Classification Task (FACT)

• Overview of FACT at IberLEF 2020: Events Detection and Classification 197-205
  Aiala Rosá, Laura Alonso, Irene Castellón, Luis Chiruzzo, Hortensia Curell, Ana Fernandez Montraveta, Santiago Góngora, Marisa Malcuori, Glòria Vàzquez, Dina Wonsever
• FACT2020: Factuality Identification in Spanish Text 206-213
  Arturo Collazo, Agustín Rieppi, Tiziana Romani, Guillermo Trinidad
• Factuality Classification Using BERT Embeddings and Support Vector Machines 214-221
  Biswarup Ray, Avishek Garain

Track 6: MEX-A3T: Authorship and aggressiveness analysis in Twitter: case study in Mexican Spanish

• Overview of MEX-A3T at IberLEF 2020: Fake News and Aggressiveness Analysis in Mexican Spanish 222-235
  Mario Ezra Aragón, Horacio Jarquín-Vásquez, Manuel Montes-y-Gómez, Hugo Jair Escalante, Luis Villaseñor-Pineda, Helena Gómez-Adorno, Juan-Pablo Posadas-Durán, Gemma Bel-Enguix
• Detecting Aggressiveness in Mexican Spanish Social Media Content by Fine-Tuning Transformer-Based Models 236-245
  Mircea-Adrian Tanase, George-Eduard Zaharia, Dumitru-Clementin Cercel, Mihai Dascalu
• GRU with Author Profiling Information to Detect Aggressiveness 246-251
  María Guadalupe Garrido-Espinosa, Alejandro Rosales-Pérez, Adrián Pastor López-Monroy
• Idiap and UAM Participation at MEX-A3T Evaluation Campaign 252-257
  Esaú Villatoro-Tello, Gabriela Ramírez-de-la-Rosa, Sajit Kumar, Shantipriya Parida, Petr Motlicek
• ITCG’s Participation at MEX-A3T 2020: Aggressive Identification and Fake News Detection Based on Textual Features for Mexican Spanish 258-264
  Diego Zaizar-Gutiérrez, Daniel Fajardo-Delgado, Miguel Ángel Álvarez-Carmona
• TecNM at MEX-A3T 2020: Fake News and Aggressiveness Analysis in Mexican Spanish 265-272
  Samuel Arce-Cardenas, Daniel Fajardo-Delgado, Miguel Ángel Álvarez-Carmona
• UACh at MEX-A3T 2020: Detecting Aggressive Tweets by Incorporating Author and Message Context 273-279
  Marco Casavantes, Roberto López, Luis Carlos González
• Detecting Aggressiveness in Mexican Spanish Tweets with LSTM + GRU and LSTM + CNN Architectures 280-286
  Victor Peñaloza
• UMUTeam at MEX-A3T'2020: Detecting Aggressiveness with Linguistic Features and Word Embeddings 287-292
  José Antonio García-Díaz, Rafael Valencia-García
• Transformers and Data Augmentation for Aggressiveness Detection in Mexican Spanish 293-302
  Mario Guzman-Silverio, Ángel Balderas-Paredes, Adrián Pastor López-Monroy

Track 7: CANcer TExt Mining Shared Task (Cantemist)

• Named Entity Recognition, Concept Normalization and Clinical Coding: Overview of the Cantemist Track for Cancer Text Mining in Spanish, Corpus, Guidelines, Methods and Results 303-323
  Antonio Miranda-Escalada, Eulàlia Farré-Maduell, Martin Krallinger
• Extracting Neoplasms Morphology Mentions in Spanish Clinical Cases through Word Embeddings 324-334
  Pilar López-Úbeda, Manuel Carlos Díaz-Galiano, María Teresa Martín-Valdivia, Luis Alfonso Ureña-López
• NLNDE at CANTEMIST: Neural Sequence Labeling and Parsing Approaches for Clinical Concept Extraction 335-346
  Lukas Lange, Xiang Dai, Heike Adel, Jannik Strötgen
• NCU-IISR: Pre-trained Language Model for CANTEMIST Named Entity Recognition 347-351
  Jen-Chieh Han, Richard Tzong-Han Tsai
• Recognai’s Working Notes for CANTEMIST-NER Track 352-357
  David Carreto Fidalgo, Daniel Vila-Suero, Francisco Aranda Montes
• End-to-End Neural Coder for Tumor Named Entity Recognition 358-367
  Mohammed Jabreel
• Using Embeddings and Bi-LSTM+CRF Model to Detect Tumor Morphology Entities in Spanish Clinical Cases 368-375
  Sergio Santamaria Carrasco, Paloma Martínez
• Tumor Entity Recognition and Coding for Spanish Electronic Health Records 376-384
  Fadi Hassan, David Sánchez, Josep Domingo-Ferrer
• Deep Neural Model with Contextualized-word Embeddings for Named Entity Recognition in Spanish Clinical Text 385-395
  Renzo Rivera-Zavala, Paloma Martinez
• Exploring Deep Learning for Named Entity Recognition of Tumor Morphology Mentions 396-411
  Gema de Vargas Romero, Isabel Segura-Bedmar
• Tumor Morphology Mentions Identification Using Deep Learning and Conditional Random Fields 412-421
  Utpal Kumar Sikdar, Björn Gambäck, M Krishna Kumar
• LasigeBioTM at CANTEMIST: Named Entity Recognition and Normalization of Tumour Morphology Entities and Clinical Coding of Spanish Health-related Documents 422-437
  Pedro Ruas, Andre Neves, Vitor D.T. Andrade and Francisco M. Couto, Mario Ezra Aragón
• A Parallel-Attention Model for Tumor Named Entity Recognition in Spanish 438-446
  Tong Wang, Yuanyu Zhang, Yongbin Li
• A Tumor Named Entity Recognition Model Based on Pre-trained Language Model and Attention Mechanism 447-457
  Xin Taou, Renyuan Liu, Xiaobing Zhou
• Identification of Cancer Entities in Clinical Text Combining Transformers with Dictionary Features 458-467
  John D Osborne, Tobias O’Leary, James Del Monte, Kuleen Sasse
• ICB-UMA at CANTEMIST 2020: Automatic ICD-O Coding in Spanish with BERT 468-476
  Guillermo López-García, José Manuel Jerez, Nuria Ribelles, Emilio Alba, Francisco Javier Veredas
• Automatic ICD Code Classification with Label Description Attention Mechanism 477-488
  Kathryn Chapman, Günter Neumann
• Vicomtech at CANTEMIST 2020 489-498
  Aitor García-Pablos, Naiara Perez, Montse Cuadros
• A Joint Model for Medical Named Entity Recognition and Normalization 499-504
  Ying Xiong, Yuanhang Huang, Qingcai Chen, Xiaolong Wang, Yuan Nic, Buzhou Tang
• Clinical NER using Spanish BERT Embeddings 505-511
  Ramya Vunikili, Supriya H N, Vasile George Marica, Oladimeji Farri