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ORCIDIberLEF@SEPLN 2020: Málaga, Spain
- Miguel Ángel García Cumbreras, Julio Gonzalo, Eugenio Martínez Cámara, Raquel Martínez-Unanue, Paolo Rosso, Salud M. Jiménez-Zafra, Jenny Alexandra Ortiz Zambrano, Antonio Miranda, Jordi Porta Zamorano, Yoan Gutiérrez, Aiala Rosá, Manuel Montes-y-Gómez, Manuel García Vega:
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2020) co-located with 36th Conference of the Spanish Society for Natural Language Processing (SEPLN 2020), Málaga, Spain, September 23th, 2020. CEUR Workshop Proceedings 2664, CEUR-WS.org 2020
Track 1: Lexical Analysis at SEPLN (ALexS)
- Jenny Alexandra Ortiz Zambrano, Arturo Montejo-Ráez:
Overview of ALexS 2020: First Workshop on Lexical Analysis at SEPLN. 1-6 - Elena Zotova, Montse Cuadros, Naiara Pérez, Aitor García Pablos:
Vicomtech at ALexS 2020: Unsupervised Complex Word Identification Based on Domain Frequency. 7-14 - Antonio Rico Sulayes:
General Lexicon-Based Complex Word Identification Extended with Stem N-grams and Morphological Engines. 15-23 - Rodrigo Alarcón, Lourdes Moreno, Paloma Martínez:
Hulat - ALexS CWI Task - CWI for Language and Learning Disabilities Applied to University Educational Texts. 24-30
Track 2: Named Entity Recognition and Classification, and Universal Dependency Parsing of Spanish News (CAPITEL)
- Jordi Porta Zamorano, Luis Espinosa Anke:
Overview of CAPITEL Shared Tasks at IberLEF 2020: Named Entity Recognition and Universal Dependencies Parsing. 31-38 - Fernando Sánchez León:
Combining Different Parsers and Datasets for CAPITEL UD Parsing. 39-44 - Rodrigo Agerri, German Rigau:
Projecting Heterogeneous Annotations for Named Entity Recognition. 45-51 - Aitor García Pablos, Montse Cuadros, Elena Zotova:
Vicomtech at CAPITEL 2020: Facing Entity Recognition and Universal Dependency Parsing of Spanish News Articles with BERT Models. 52-59 - Lizhi Lei, Minghan Wang, Hao Yang, Shiliang Sun, Ying Qin, Daimeng Wei:
System Report of HW-TSC on the CAPITEL NER Evaluation. 60-63 - Elena Álvarez Mellado:
Two Models for Named Entity Recognition in Spanish. Submission to the CAPITEL Shared Task at IberLEF 2020. 64-70
Track 3: eHealth Knowledge Discovery (eHealth-KD)
- Alejandro Piad-Morffis, Yoan Gutiérrez, Hian Cañizares-Diaz, Suilan Estevez-Velarde, Rafael Muñoz, Andrés Montoyo, Yudivián Almeida-Cruz:
Overview eHealth-KD 2020. 71-84 - Salvador Medina, Jordi Turmo:
TALP at eHealth-KD Challenge 2020. 85-93 - Zainab H. Almugbel:
ExSim at eHealth-KD Challenge 2020. 94-101 - Aitor García Pablos, Naiara Pérez, Montse Cuadros, Elena Zotova:
Vicomtech at eHealth-KD Challenge 2020. 102-111 - Juan Pablo Consuegra-Ayala, Manuel Palomar:
UH-MatCom at eHealth-KD Challenge 2020. 112-124 - Alejandro Rodríguez Pérez, Ernesto Quevedo Caballero, Jorge Mederos Alvarado, Rocío Cruz Linares, Juan Pablo Consuegra-Ayala:
UH-MAJA-KD at eHealth-KD Challenge 2020. 125-135 - Sergio Santana, Alicia Pérez, Arantza Casillas:
HapLap at eHealth-KD Challenge 2020. 136-140 - Pilar López-Úbeda, José Manuel Perea Ortega, Manuel Carlos Díaz-Galiano, María Teresa Martín-Valdivia, Luis Alfonso Ureña López:
SINAI at eHealth-KD Challenge 2020. 141-150 - Edgar Andrés, Oscar Sainz, Aitziber Atutxa, Oier Lopez de Lacalle:
IXA-NER-RE at eHealth-KD Challenge 2020. 151-162
Track 4: Sentiment Analysis in Spanish (TASS)
- 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:
Overview of TASS 2020: Introducing Emotion Detection. 163-170 - Daniel Palomino, José Ochoa Luna:
Palomino-Ochoa at TASS 2020: Transformer-based Data Augmentation for Overcoming Few-Shot Learning. 171-178 - José-Ángel González, José Arias Moncho, Lluís-Felip Hurtado, Ferran Pla:
ELiRF-UPV at TASS 2020: TWilBERT for Sentiment Analysis and Emotion Detection in Spanish Tweets. 179-186 - José Antonio García-Díaz, Ángela Almela, Rafael Valencia-García:
UMUTeam at TASS 2020: Combining Linguistic Features and Machine-learning Models for Sentiment Classification. 187-196
Track 5: Factuality Analysis and Classification Task (FACT)
- Aiala Rosá, Laura Alonso Alemany, Irene Castellón, Luis Chiruzzo, Hortensia Curell, Ana Fernández Montraveta, Santiago Góngora, Marisa Malcuori, Glòria Vázquez, Dina Wonsever:
Overview of FACT at IberLEF 2020: Events Detection and Classification. 197-205 - Arturo Collazo, Agustín Rieppi, Tiziana Romani, Guillermo Trinidad Barnech:
FACT2020: Factuality Identification in Spanish Text. 206-213 - Biswarup Ray, Avishek Garain:
Factuality Classification Using BERT Embeddings and Support Vector Machines. 214-221
Track 6: MEX-A3T: Authorship and aggressiveness analysis in Twitter: case study in Mexican Spanish
- Mario Ezra Aragón, Horacio Jesús Jarquín-Vásquez, Manuel Montes-y-Gómez, Hugo Jair Escalante, Luis Villaseñor Pineda, Helena Gómez-Adorno, Juan Pablo Posadas-Durán, Gemma Bel-Enguix:
Overview of MEX-A3T at IberLEF 2020: Fake News and Aggressiveness Analysis in Mexican Spanish. 222-235 - Mircea-Adrian Tanase, George-Eduard Zaharia, Dumitru-Clementin Cercel, Mihai Dascalu:
Detecting Aggressiveness in Mexican Spanish Social Media Content by Fine-Tuning Transformer-Based Models. 236-245 - María Guadalupe Garrido-Espinosa, Alejandro Rosales-Pérez, Adrián Pastor López-Monroy:
GRU with Author Profiling Information to Detect Aggressiveness. 246-251 - Esaú Villatoro-Tello, Gabriela Ramírez-de-la-Rosa, Sajit Kumar, Shantipriya Parida, Petr Motlícek:
Idiap and UAM Participation at MEX-A3T Evaluation Campaign. 252-257 - Diego Zaizar-Gutiérrez, Daniel Fajardo-Delgado, Miguel Ángel Álvarez-Carmona:
ITCG's Participation at MEX-A3T 2020: Aggressive Identification and Fake News Detection Based on Textual Features for Mexican Spanish. 258-264 - Samuel Arce-Cardenas, Daniel Fajardo-Delgado, Miguel Ángel Álvarez-Carmona:
TecNM at MEX-A3T 2020: Fake News and Aggressiveness Analysis in Mexican Spanish. 265-272 - Marco Casavantes, Roberto López-Santillán, Luis Carlos González-Gurrola:
UACh at MEX-A3T 2020: Detecting Aggressive Tweets by Incorporating Author and Message Context. 273-279 - Victor Peñaloza:
Detecting Aggressiveness in Mexican Spanish Tweets with LSTM + GRU and LSTM + CNN Architectures. 280-286 - José Antonio García-Díaz, Rafael Valencia-García:
UMUTeam at MEX-A3T'2020: Detecting Aggressiveness with Linguistic Features and Word Embeddings. 287-292 - Mario Guzman-Silverio, Ángel Balderas-Paredes, Adrián Pastor López-Monroy:
Transformers and Data Augmentation for Aggressiveness Detection in Mexican Spanish. 293-302
Track 7: CANcer TExt Mining Shared Task (Cantemist)
- Antonio Miranda-Escalada, Eulàlia Farré, Martin Krallinger:
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 - Pilar López-Úbeda, Manuel Carlos Díaz-Galiano, María Teresa Martín-Valdivia, Luis Alfonso Ureña López:
Extracting Neoplasms Morphology Mentions in Spanish Clinical Cases through Word Embeddings. 324-334 - Lukas Lange, Xiang Dai, Heike Adel, Jannik Strötgen:
NLNDE at CANTEMIST: Neural Sequence Labeling and Parsing Approaches for Clinical Concept Extraction. 335-346 - Jen-Chieh Han, Richard Tzong-Han Tsai:
NCU-IISR: Pre-trained Language Model for CANTEMIST Named Entity Recognition. 347-351 - David Carreto Fidalgo, Daniel Vila-Suero, Francisco Aranda Montes:
Recognai's Working Notes for CANTEMIST-NER Track. 352-357 - Mohammed Jabreel:
End-to-End Neural Coder for Tumor Named Entity Recognition. 358-367 - Sergio Santamaria Carrasco, Paloma Martínez:
Using Embeddings and Bi-LSTM+CRF Model to Detect Tumor Morphology Entities in Spanish Clinical Cases. 368-375 - Fadi Hassan, David Sánchez, Josep Domingo-Ferrer:
Tumor Entity Recognition and Coding for Spanish Electronic Health Records. 376-384 - Renzo M. Rivera Zavala, Paloma Martínez:
Deep Neural Model with Contextualized-word Embeddings for Named Entity Recognition in Spanish Clinical Text. 385-395 - Gema de Vargas Romero, Isabel Segura-Bedmar:
Exploring Deep Learning for Named Entity Recognition of Tumor Morphology Mentions. 396-411 - Utpal Kumar Sikdar, Björn Gambäck, M. Krishna Kumar:
Tumor Morphology Mentions Identification Using Deep Learning and Conditional Random Fields. 412-421 - Pedro Ruas, André Neves, Vitor D. T. Andrade, Francisco M. Couto
, Mario Ezra Aragón:
LasigeBioTM at CANTEMIST: Named Entity Recognition and Normalization of Tumour Morphology Entities and Clinical Coding of Spanish Health-related Documents. 422-437 - Tong Wang, Yuanyu Zhang, Yongbin Li:
A Parallel-Attention Model for Tumor Named Entity Recognition in Spanish. 438-446 - Xin Taou, Renyuan Liu, Xiaobing Zhou:
A Tumor Named Entity Recognition Model Based on Pre-trained Language Model and Attention Mechanism. 447-457 - John D. Osborne, Tobias O'Leary, James Del Monte, Kuleen Sasse:
Identification of Cancer Entities in Clinical Text Combining Transformers with Dictionary Features. 458-467 - Guillermo López-García, José M. Jerez, Francisco José Veredas:
ICB-UMA at CANTEMIST 2020: Automatic ICD-O Coding in Spanish with BERT. 468-476 - Kathryn Annette Chapman, Günter Neumann:
Automatic ICD Code Classification with Label Description Attention Mechanism. 477-488 - Aitor García Pablos, Naiara Pérez, Montse Cuadros:
Vicomtech at CANTEMIST 2020. 489-498 - Ying Xiong, Yuanhang Huang, Qingcai Chen, Xiaolong Wang, Yuan Nic, Buzhou Tang:
A Joint Model for Medical Named Entity Recognition and Normalization. 499-504 - Ramya Vunikili, Supriya H. N, Vasile George Marica, Oladimeji Farri:
Clinical NER using Spanish BERT Embeddings. 505-511
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