IberLEF 2019
Iberian Languages Evaluation Forum 2019

Table of Contents

• Preface
  
  
• Organization
  
  

Track 1: eHealth Knowledge Discovery (eHealth-KD)

• Overview of the eHealth Knowledge Discovery Challenge at IberLEF 2019 1-16
  Alejandro Piad-Morffis, Yoan Gutiérrez, Juan Pablo Consuegra-Ayala, Suilan Estevez-Velarde, Yudivián Almeida-Cruz, Rafael Muñoz, Andrés Montoyo
• Coin_flipper at eHealth-KD Challenge 2019: Voting LSTMs for Key Phrases and Semantic Relation Identification Applied to Spanish eHealth Texts 17-25
  Neus Catalá, Mario Martin
• Hulat-TaskA at eHealth-KD Challenge 2019: Sequence Key Phrases Recognition in the Spanish Clinical Narrative 26-34
  Alejandro Ruiz-de-laCuadra, Jose Luis Lopez-Cuadrado, Israel Gonzalez-Carrasco, Belen Ruiz-Mezcua
• Hulat-TaskAB at eHealth-KD Challenge 2019: Knowledge Recognition from Health Documents by BiLSTM-CRF 35-42
  Cristóbal Colón-Ruiz, Isabel Segura-Bedmar
• IxaMed at eHealth-KD Challenge 2019: Using Different Paradigms to Solve Clinical Relation Extraction 43-50
  Iakes Goenaga, Sergio Santana, Sara Santiso, Koldo Gojenola, Alicia Pérez, Arantza Casillas
• LaSTUS-TALN at IberLEF 2019 eHealth-KD Challenge: Deep Learning Approaches to Information Extraction in Biomedical Texts 51-59
  Álex Bravo, Pablo Accuosto, Horacio Saggion
• LSI2_UNED at eHealth-KD Challenge 2019: A Few-shot Learning Model for Knowledge Discovery from eHealth Documents 60-66
  Alicia Lara-Clares, Ana Garcia-Serrano
• NLP_UNED at eHealth-KD Challenge 2019: Deep Learning for Named Entity Recognition and Attentive Relation Extraction 67-77
  Hermenegildo Fabregat, Andres Duque, Juan Martinez-Romo, Lourdes Araujo
• TALP-UPC at eHealth-KD Challenge 2019: A Joint Model with Contextual Embeddings for Clinical Information Extraction 78-84
  Salvador Medina, Jordi Turmo
• UH-MAJA-KD at eHealth-KD Challenge 2019: Deep Learning Models for Knowledge Discovery in Spanish eHealth Documents 85-94
  Jorge Mederos Alvarado, Ernesto Quevedo Caballero, Alejandro Rodríguez Pérez, Rocío Cruz Linares
• VSP at eHealth-KD Challenge 2019: Recurrent Neural Networks for Relation Classification in Spanish eHealth Documents 95-104
  Víctor Suárez-Paniagua

Track 2: Factuality Analysis and Classification Task (FACT)

• Overview of FACT at IberLEF 2019: Factuality Analysis and Classification Task 105-110
  Aiala Rosá, Irene Castellón, Luis Chiruzzo, Hortensia Curell, Mathias Etcheverry, Ana Fernández, Gloria Vázquez, Dina Wonsever
• Amrita_CEN@FACT: Factuality Identification in Spanish Text 111-118
  Bhavukam Premjith, Kutti Padannayil Soman, Prabaharan Poornachandran
• Aspie96 at FACT (IberLEF 2019): Factuality Classification in Spanish Texts with Character-Level Convolutional RNN and Tokenization 119-125
  Valentino Giudice
• Factuality Classification Using the Pre-trained Language Representation Model BERT 126-131
  Jihang Mao, Wanli Liu

Track 3: Humor Analysis based on Human Annotation (HAHA)

• Overview of HAHA at IberLEF 2019: Humor Analysis based on Human Annotation 132-144
  Luis Chiruzzo, Santiago Castro, Mathias Etcheverry, Diego Garat, Juan José Prada, Aiala Rosá
• LaSTUS/TALN at HAHA: Humor Analysis based on Human Annotation 145-150
  Lutfiye Seda Mut Altin, Álex Bravo, Horacio Saggion
• Generating Document Embeddings for Humor Recognition using Tensor Decomposition 151-159
  Andrew Cattle, Zhenjie Zhao, Evangelos Papalexakis, Xiaojuan Ma
• Humor Analysis Based on Human Annotation Challenge at IberLEF 2019: First-place Solution 160-164
  Adilzhan Ismailov
• Aspie96 at HAHA (IberLEF 2019): Humor Detection in Spanish Tweets with Character-Level Convolutional RNN 165-171
  Valentino Giudice
• Applying a Pre-trained Language Model to Spanish Twitter Humor Prediction 172-179
  Bobak Farzin, Piotr Czapla, Jeremy Howard
• OFAI-UKP at HAHA@IberLEF2019: Predicting the Humorousness of Tweets Using Gaussian Process Preference Learning 180-190
  Tristan Miller, Erik-Lân Do Dinh, Edwin Simpson, Iryna Gurevych
• Humor Analysis based on Human Annotation(HAHA)-2019: Humor Analysis at Tweet Level using Deep Learning 191-196
  Avishek Garain
• A BERT-based Approach for Automatic Humor Detection and Scoring 197-202
  Jihang Mao, Wanli Liu
• INGEOTEC at IberLEF 2019 Task HaHa 203-211
  José Ortiz-Bejar, Eric Tellez, Mario Graff, Daniela Moctezuma, Sabino Miranda-Jiménez
• UO_UPV2 at HAHA 2019: BiGRU Neural Network Informed with Linguistic Features for Humor Recognition 212-221
  Reynier Ortega-Bueno, Paolo Rosso, José Medina Pagola
• UTMN at HAHA@IberLEF2019: Recognizing Humor in Spanish Tweets using Hard Parameter Sharing for Neural Networks 222-228
  Anna Glazkova, Nadezhda Ganzherli, Elena Mikhalkova

Track 4: Irony Detection in Spanish Variants (IroSvA)

• Overview of the Task on Irony Detection in Spanish Variants 229-256
  Reynier Ortega-Bueno, Francisco Rangel, Delia Irazú Hernández Farías, Paolo Rosso, Manuel Montes-y-Gómez, José Medina-Pagola
• ATC at IroSvA 2019: Shallow Syntactic Dependency-based Features for Irony Detection in Spanish Variants 257-263
  Alessandra Teresa Cignarella, Cristina Bosco
• Emotion-Based Cross-Variety Irony Detection 264-271
  Hiram Calvo, Omar Juárez Gambino
• Early Fusion of Traditional and Deep Features for Irony Detection in Twitter 272-277
  Hairo Ulises Miranda-Belmonte, Adrián Pastor López-Monroy
• ELiRF-UPV at IroSvA: Transformer Encoders for Spanish Irony Detection 278-284
  José- Ángel González, Lluís-Felip Hurtado, Ferran Pla
• A Contextualized Word Representation Approach for Irony Detection 285-290
  Lizeth García, Daniela Moctezuma, Víctor Muñiz
• LaSTUS/TALN at IroSvA: Irony Detection in Spanish Variants 291-296
  Lutfiye Seda Mut Altin, Álex Bravo, Horacio Saggion
• Computational Models for Irony Detection in Three Spanish Variants 297-309
  Simona Frenda, Viviana Patti
• UFPelRules to Irony Detection in Spanish Variants 310-314
  Diulia Justin Deon, Larissa Astrogildo de Freitas
• UO-CERPAMID at IroSvA: Impostor Method Adaptation for Irony Detection IroSvA@IberLEF 2019 315-321
  Daniel Castro, Llinet Benavides
• VRAIN at IroSva 2019: Exploring Classical and Transfer Learning Approaches to Short Message Irony Detection 322-328
  Javier Iranzo-Sánchez, Ramon Ruiz-Dolz

Track 5: Negation in Spanish (NEGES)

• NEGES 2019 Task: Negation in Spanish 329-341
  Salud María Jiménez-Zafra, Noa Patricia Cruz Díaz, Roser Morante, María-Teresa Martín-Valdivia
• Aspie96 at NEGES (IberLEF 2019): Negation Cues Detection in Spanish with Character-Level Convolutional RNN and Tokenization 342-351
  Valentino Giudice
• Detection of Negation Cues in Spanish: The CLiC-Neg System 352-360
  Javier Beltrán, Mónica González
• Supervised Learning Approaches to Detect Negation Cues in Spanish Reviews 361-368
  Lluís Domínguez-Mas, Francesco Ronzano, Laura Furlong
• Extending a Deep Learning Approach for Negation Cues Detection in Spanish 369-377
  Hermenegildo Fabregat, Andres Duque, Juan Martinez-Romo, Lourdes Araujo
• LTG-Oslo Hierarchical Multi-task Network: The Importance of Negation for Document-level Sentiment in Spanish 378-389
  Jeremy Barnes

Track 6: Named Entity Recognition and Relation Extraction for Portuguese (NER_Portuguese)

• IberLEF 2019 Portuguese Named Entity Recognition and Relation Extraction Tasks 390-410
  Sandra Collovini, Joaquim Santos, Bernardo Consoli, Juliano Terra, Renata Vieira, Paulo Quaresma, Marlo Souza, Daniela Barreiro Claro, Rafael Glauber
• Contextual Representations and Semi-Supervised Named Entity Recognition for Portuguese Language 411-420
  Pedro Vitor Quinta de Castro, Nádia Félix Felipe da Silva, Anderson da Silva Soares
• Adapting NER (CRF+LG) for Many Textual Genres 421-433
  Juliana Pirovani, James Alves, Marcos Spalenza, Wesley Silva, Cristiano da Silveira Colombo, Elias Oliveira
• Multidomain Contextual Embeddings for Named Entity Recognition 434-441
  Joaquim Santos, Juliano Terra, Bernardo Consoli, Renata Vieira
• Dependency Parser on Open Information Extraction for Portuguese Texts - DptOIE and DependentIE on IberLEF 442-448
  Rafael Glauber, Daniela Barreiro Claro, Leandro Souza de Oliveira
• Towards a Pragmatic Open Information Extraction for Portuguese Text - ICEIS17, InferPortOIE and PragmaticOIE on IberLEF 449-456
  Rafael Glauber, Daniela Barreiro Claro, Cleiton Fernando Lima Sena
• NER and Open Information Extraction for Portuguese: Notebook for IberLEF 2019 Portuguese Named Entity Recognition and Relation Extraction Tasks 457-467
  Pablo Gamallo, Marcos Garcia, Patricia Martín-Rodilla
• NLPyPort: Named Entity Recognition with CRF and Rule-Based Relation Extraction 468-477
  João Ferreira, Hugo Gonçalo Oliveira, Ricardo Rodrigues

Track 7: MEX-A3T: Authorship and aggressiveness analysis in Twitter: case study in Mexican Spanish

• Overview of MEX-A3T at IberLEF 2019: Authorship and Aggressiveness Analysis in Mexican Spanish Tweets 478-494
  Mario Ezra Aragón, Miguel Álvarez-Carmona, Manuel Montes-y-Gómez, Hugo Jair Escalante, Luis Villaseñor-Pineda, Daniela Moctezuma
• Ensemble Learning to Detect Aggressiveness in Mexican Spanish Tweets 495-501
  María Dolores Molina-González, Flor Miriam Plaza-del-Arco, María Teresa Martín-Valdivia, Luis Alfonso Ureña-López
• CerpamidUA at MexA3T 2019: Transition Point Proposal 502-507
  Daniel Castro Castro, María Fernanda Artigas Herold, Reynier Ortega Bueno, Rafael Muñoz
• Author Profiling From Images Using 3D Convolutional Neural Networks 508-514
  Eduardo Valdez-Rodríguez, Hiram Calvo, Edgardo Felipe-Riverón
• Attribute Selection Techniques for Classification of Aggressive Tweets LyR-UAMC participation at MexA3T 2019 Task 515-519
  Gabriela Ramírez-de-la-Rosa, Esaú Villatoro-Tello, Héctor Jiménez-Salazar
• Detection of Aggressive Tweets in Mexican Spanish Using Multiple Features with Parameter Optimization 520-525
  Germán Ortiz, Helena Gómez-Adorno, Jorge Reyes-Magaña, Gemma Bel-Enguix, Gerardo Sierra
• Aggressiveness Identification in Twitter at IberLEF2019: Frequency Analysis Interpolation for Aggressiveness Identification 526-530
  Óscar Garibo i Orts
• Aggressive Analysis in Twitter using a Combination of Models 531-536
  Gretel Liz De la Peña Sarracén, Paolo Rosso
• UACh at MEX-A3T 2019: Preliminary Results on Detecting Aggressive Tweets by Adding Author Information Via an Unsupervised Strategy 537-543
  Marco Casavantes, Roberto López, Luis Carlos González
• Aggressiveness Detection through Deep Learning Approaches 544-549
  Victor Nina-Alcocer, José-Ángel González, Lluís-Felip Hurtado, Ferran Pla

Track 8: Sentiment Analysis Task at SEPLN (TASS)

• Overview of TASS 2019: One More Further for the Global Spanish Sentiment Analysis Corpus 550-560
  Manuel Carlos Díaz-Galiano, Manuel García-Vega, Edgar Casasola, Luis Chiruzzo, Miguel García-Cumbreras, Eugenio Martínez Cámara, Daniela Moctezuma, Arturo Montejo Ráez, Marco Antonio Sobrevilla Cabezudo, Eric Tellez, Mario Graff, Sabino Miranda
• Atalaya at TASS 2019: Data Augmentation and Robust Embeddings for Sentiment Analysis 561-570
  Franco Martín Luque
• ELiRF-UPV at TASS 2019: Transformer Encoders for Twitter Sentiment Analysis in Spanish 571-578
  José-Ángel González, Lluís-Felip Hurtado, Ferran Pla
• GTH-UPM at TASS 2019: Sentiment Analysis of Tweets for Spanish Variants 579-588
  Ignacio González Godino, Luis Fernando D'Haro
• From Recurrency to Attention in Opinion Analysis: Comparing RNN vs Transformer Models 589-597
  Rosa María Montañés-Salas, Rafael del-Hoyo-Alonso, Rocío Aznar-Gimeno
• LaSTUS/TALN at TASS 2019: Sentiment Analysis for Spanish Language Variants with Neural Networks 598-604
  Lutfiye Seda Mut Altin, Álex Bravo, Horacio Saggion
• RETUYT-InCo at TASS 2019: Sentiment Analysis in Spanish Tweets 605-610
  Marcos Pastorini, Mauricio Pereira, Nicolás Zeballos, Luis Chiruzzo, Aiala Rosá, Mathias Etcheverry
• Sentiment Analysis at SEPLN (TASS)-2019: Sentiment Analysis at Tweet Level Using Deep Learning 611-617
  Avishek Garain, Sainik Kumar Mahata

Track 9: Medical Document Anonymization Task (MEDDOCAN)

• Automatic De-identification of Medical Texts in Spanish: the MEDDOCAN Track, Corpus, Guidelines, Methods and Evaluation of Results 618-638
  Montserrat Marimon, Aitor Gonzalez-Agirre, Ander Intxaurrondo, Heidy Rodríguez, Jose Lopez Martin, Marta Villegas, Martin Krallinger
• Spanish Medical Document Anonymization with Three-channel Convolutional Neural Networks 639-646
  Jordi Porta-Zamorano
• Anonymization of Sensitive Information in Medical Health Records 647-653
  Bhavna Saluja, Gaurav Kumar, João Sedoc, Chris Callison-Burch
• VSP at MEDDOCAN 2019 De-Identification of Medical Documents in Spanish with Recurrent Neural Networks 654-662
  Víctor Suárez-Paniagua
• De-Identification through Named Entity Recognition for Medical Document Anonymization 663-670
  Hermenegildo Fabregat, Andres Duque, Juan Martinez-Romo, Lourdes Araujo
• NLNDE: The Neither-Language-Nor-Domain-Experts' Way of Spanish Medical Document De-Identification 671-678
  Lukas Lange, Heike Adel, Jannik Strötgen
• Protected Health Information Recognition by BiLSTM-CRF 679-686
  Cristóbal Colón-Ruiz, Isabel Segura-Bedmar
• Anonymization of Clinical Reports in Spanish: a Hybrid Method Based on Machine Learning and Rules 687-695
  Pilar López- Úbeda, Manuel Díaz-Galiano, Luis Alfonso Ureña-López, María-Teresa Martín-Valdivia
• Vicomtech at MEDDOCAN: Medical Document Anonymization 696-703
  Naiara Perez, Laura García-Sardiña, Manex Serras, Arantza Del Pozo
• Resource-Based Anonymization for Spanish Clinical Cases 704-711
  Fernando Sánchez-León
• E2EJ: Anonymization of Spanish Medical Records using End-to-End Joint Neural Networks 712-719
  Mohammed Jabreel, Fadi Hassan, Najlaa Maarrof, David Sánchez, Josep Domingo-Ferrer, Antonio Moreno
• Hadoken: a BERT-CRF Model for Medical Document Anonymization 720-726
  Jihang Mao, Wanli Liu
• ReCRF: Spanish Medical Document Anonymization using Automatically-crafted Rules and CRF 727-734
  Fadi Hassan, Mohammed Jabreel, Najlaa Maarrof, David Sánchez, Josep Domingo-Ferrer, Antonio Moreno
• A Generic Neural Exhaustive Approach for Entity Recognition and Sensitive Span Detection 735-743
  Mohammad Golam Sohrab, Pham Minh Thang, Makoto Miwa
• Window Classifiers and Conditional Random Fields for Medical Report De-Identification 744-754
  Viviana Cotik, Franco Luque, Juan Manuel Pérez
• Key Phrases Annotation in Medical Documents: MEDDOCAN 2019 Anonymization Task 755-760
  Alicia Lara-Clares, Ana Garcia-Serrano
• A Deep Learning-Based System for the MEDDOCAN Task 761-767
  Dehuan Jiang, Yedan Shen, Shuai Chen, Buzhou Tang, Xiaolong Wang, Qingcai Chen, Ruifeng Xu, Jun Yan, Yi Zhou