Abstract is missing.
- Overview of ALexS 2020: First Workshop on Lexical Analysis at SEPLNJenny Alexandra Ortiz Zambrano, Arturo Montejo Ráez. 1-6 [doi]
- Vicomtech at ALexS 2020: Unsupervised Complex Word Identification Based on Domain FrequencyElena Zotova, Montse Cuadros, Naiara Pérez, Aitor García Pablos. 7-14 [doi]
- General Lexicon-Based Complex Word Identification Extended with Stem N-grams and Morphological EnginesAntonio Rico Sulayes. 15-23 [doi]
- Hulat - ALexS CWI Task - CWI for Language and Learning Disabilities Applied to University Educational TextsRodrigo Alarcón, Lourdes Moreno, Paloma Martínez. 24-30 [doi]
- Overview of CAPITEL Shared Tasks at IberLEF 2020: Named Entity Recognition and Universal Dependencies ParsingJordi Porta Zamorano, Luis Espinosa Anke. 31-38 [doi]
- Combining Different Parsers and Datasets for CAPITEL UD ParsingFernando Sánchez León. 39-44 [doi]
- Projecting Heterogeneous Annotations for Named Entity RecognitionRodrigo Agerri, German Rigau. 45-51 [doi]
- Vicomtech at CAPITEL 2020: Facing Entity Recognition and Universal Dependency Parsing of Spanish News Articles with BERT ModelsAitor García Pablos, Montse Cuadros, Elena Zotova. 52-59 [doi]
- System Report of HW-TSC on the CAPITEL NER EvaluationLizhi Lei, Minghan Wang, Hao Yang, Shiliang Sun, Ying Qin, Daimeng Wei. 60-63 [doi]
- Two Models for Named Entity Recognition in Spanish. Submission to the CAPITEL Shared Task at IberLEF 2020Elena Alvarez-Mellado. 64-70 [doi]
- Overview eHealth-KD 2020Alejandro Piad-Morffis, Yoan Gutiérrez, Hian Cañizares-Diaz, Suilan Estevez-Velarde, Rafael Muñoz 0001, Andrés Montoyo, Yudivián Almeida-Cruz. 71-84 [doi]
- TALP at eHealth-KD Challenge 2020Salvador Medina, Jordi Turmo. 85-93 [doi]
- ExSim at eHealth-KD Challenge 2020Zainab H. Almugbel. 94-101 [doi]
- Vicomtech at eHealth-KD Challenge 2020Aitor García Pablos, Naiara Pérez, Montse Cuadros, Elena Zotova. 102-111 [doi]
- UH-MatCom at eHealth-KD Challenge 2020Juan Pablo Consuegra-Ayala, Manuel Palomar. 112-124 [doi]
- UH-MAJA-KD at eHealth-KD Challenge 2020Alejandro Rodríguez Pérez, Ernesto Quevedo Caballero, Jorge Mederos Alvarado, Rocío Cruz Linares, Juan Pablo Consuegra-Ayala. 125-135 [doi]
- HapLap at eHealth-KD Challenge 2020Sergio Santana, Alicia Pérez, Arantza Casillas. 136-140 [doi]
- SINAI at eHealth-KD Challenge 2020Pilar López-Úbeda, José Manuel Perea Ortega, Manuel Carlos Díaz-Galiano, María-Teresa Martín Valdivia, Luis Alfonso Ureña López. 141-150 [doi]
- IXA-NER-RE at eHealth-KD Challenge 2020Edgar Andrés, Oscar Sainz, Aitziber Atutxa, Oier Lopez de Lacalle. 151-162 [doi]
- Overview of TASS 2020: Introducing Emotion DetectionManuel 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. 163-170 [doi]
- Palomino-Ochoa at TASS 2020: Transformer-based Data Augmentation for Overcoming Few-Shot LearningDaniel Palomino 0002, José Ochoa Luna. 171-178 [doi]
- ELiRF-UPV at TASS 2020: TWilBERT for Sentiment Analysis and Emotion Detection in Spanish TweetsJosé-Ángel González, José Arias Moncho, Lluís-Felip Hurtado, Ferran Pla. 179-186 [doi]
- UMUTeam at TASS 2020: Combining Linguistic Features and Machine-learning Models for Sentiment ClassificationJosé Antonio García-Díaz, Ángela Almela, Rafael Valencia-García. 187-196 [doi]
- Overview of FACT at IberLEF 2020: Events Detection and ClassificationAiala Rosá, Laura Alonso Alemany, Irene Castellón, Luis Chiruzzo, Hortensia Curell, Ana Fernández Montraveta, Santiago Góngora, Marisa Malcuori, Glòria Vázquez, Dina Wonsever. 197-205 [doi]
- FACT2020: Factuality Identification in Spanish TextArturo Collazo, Agustín Rieppi, Tiziana Romani, Guillermo Trinidad. 206-213 [doi]
- Factuality Classification Using BERT Embeddings and Support Vector MachinesBiswarup Ray, Avishek Garain. 214-221 [doi]
- Overview of MEX-A3T at IberLEF 2020: Fake News and Aggressiveness Analysis in Mexican SpanishMario 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. 222-235 [doi]
- Detecting Aggressiveness in Mexican Spanish Social Media Content by Fine-Tuning Transformer-Based ModelsMircea-Adrian Tanase, George-Eduard Zaharia, Dumitru-Clementin Cercel, Mihai Dascalu. 236-245 [doi]
- GRU with Author Profiling Information to Detect AggressivenessMaría Guadalupe Garrido-Espinosa, Alejandro Rosales-Pérez, Adrián Pastor López-Monroy. 246-251 [doi]
- Idiap and UAM Participation at MEX-A3T Evaluation CampaignEsaú Villatoro-Tello, Gabriela Ramírez-de-la-Rosa, Sajit Kumar, Shantipriya Parida, Petr Motlícek. 252-257 [doi]
- ITCG's Participation at MEX-A3T 2020: Aggressive Identification and Fake News Detection Based on Textual Features for Mexican SpanishDiego Zaizar-Gutiérrez, Daniel Fajardo-Delgado, Miguel Ángel Álvarez Carmona. 258-264 [doi]
- TecNM at MEX-A3T 2020: Fake News and Aggressiveness Analysis in Mexican SpanishSamuel Arce-Cardenas, Daniel Fajardo-Delgado, Miguel Ángel Álvarez Carmona. 265-272 [doi]
- UACh at MEX-A3T 2020: Detecting Aggressive Tweets by Incorporating Author and Message ContextMarco Casavantes, Roberto López, Luis Carlos González-Gurrola. 273-279 [doi]
- Detecting Aggressiveness in Mexican Spanish Tweets with LSTM + GRU and LSTM + CNN ArchitecturesVictor Peñaloza. 280-286 [doi]
- UMUTeam at MEX-A3T'2020: Detecting Aggressiveness with Linguistic Features and Word EmbeddingsJosé Antonio García-Díaz, Rafael Valencia-García. 287-292 [doi]
- Transformers and Data Augmentation for Aggressiveness Detection in Mexican SpanishMario Guzman-Silverio, Ángel Balderas-Paredes, Adrián Pastor López-Monroy. 293-302 [doi]
- Named Entity Recognition, Concept Normalization and Clinical Coding: Overview of the Cantemist Track for Cancer Text Mining in Spanish, Corpus, Guidelines, Methods and ResultsAntonio Miranda-Escalada, Eulàlia Farré, Martin Krallinger. 303-323 [doi]
- Extracting Neoplasms Morphology Mentions in Spanish Clinical Cases through Word EmbeddingsPilar López-Úbeda, Manuel Carlos Díaz-Galiano, María-Teresa Martín Valdivia, Luis Alfonso Ureña López. 324-334 [doi]
- NLNDE at CANTEMIST: Neural Sequence Labeling and Parsing Approaches for Clinical Concept ExtractionLukas Lange, Xiang Dai, Heike Adel, Jannik Strötgen. 335-346 [doi]
- NCU-IISR: Pre-trained Language Model for CANTEMIST Named Entity RecognitionJen-Chieh Han, Richard Tzong-Han Tsai. 347-351 [doi]
- Recognai's Working Notes for CANTEMIST-NER TrackDavid Carreto Fidalgo, Daniel Vila-Suero, Francisco Aranda Montes. 352-357 [doi]
- End-to-End Neural Coder for Tumor Named Entity RecognitionMohammed Jabreel. 358-367 [doi]
- Using Embeddings and Bi-LSTM+CRF Model to Detect Tumor Morphology Entities in Spanish Clinical CasesSergio Santamaria Carrasco, Paloma Martínez. 368-375 [doi]
- Tumor Entity Recognition and Coding for Spanish Electronic Health RecordsFadi Hassan, David Sánchez 0001, Josep Domingo-Ferrer. 376-384 [doi]
- Deep Neural Model with Contextualized-word Embeddings for Named Entity Recognition in Spanish Clinical TextRenzo M. Rivera Zavala, Paloma Martínez. 385-395 [doi]
- Exploring Deep Learning for Named Entity Recognition of Tumor Morphology MentionsGema de Vargas Romero, Isabel Segura-Bedmar. 396-411 [doi]
- Tumor Morphology Mentions Identification Using Deep Learning and Conditional Random FieldsUtpal Kumar Sikdar, Björn Gambäck, M. Krishna Kumar. 412-421 [doi]
- LasigeBioTM at CANTEMIST: Named Entity Recognition and Normalization of Tumour Morphology Entities and Clinical Coding of Spanish Health-related DocumentsPedro Ruas, André Neves, Vitor D. T. Andrade, Francisco M. Couto, Mario Ezra Aragón. 422-437 [doi]
- A Parallel-Attention Model for Tumor Named Entity Recognition in SpanishTong Wang, Yuanyu Zhang, Yongbin Li. 438-446 [doi]
- A Tumor Named Entity Recognition Model Based on Pre-trained Language Model and Attention MechanismXin Taou, Renyuan Liu, Xiaobing Zhou. 447-457 [doi]
- Identification of Cancer Entities in Clinical Text Combining Transformers with Dictionary FeaturesJohn D. Osborne, Tobias O'Leary, James Del Monte, Kuleen Sasse. 458-467 [doi]
- ICB-UMA at CANTEMIST 2020: Automatic ICD-O Coding in Spanish with BERTGuillermo López-García, José María Jerez, Francisco José Veredas. 468-476 [doi]
- Automatic ICD Code Classification with Label Description Attention MechanismKathryn Annette Chapman, Günter Neumann. 477-488 [doi]
- Vicomtech at CANTEMIST 2020Aitor García Pablos, Naiara Pérez, Montse Cuadros. 489-498 [doi]
- A Joint Model for Medical Named Entity Recognition and NormalizationYing Xiong, Yuanhang Huang, Qingcai Chen, Xiaolong Wang 0001, Yuan Nic, Buzhou Tang. 499-504 [doi]
- Clinical NER using Spanish BERT EmbeddingsRamya Vunikili, Supriya H. N, Vasile George Marica, Oladimeji Farri. 505-511 [doi]