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ORCIDIberLEF@SEPLN 2019: Bilbao, Spain
- Miguel Ángel García Cumbreras, Julio Gonzalo, Eugenio Martínez Cámara, Raquel Martínez-Unanue, Paolo Rosso, Jorge Carrillo-de-Albornoz, Soto Montalvo, Luis Chiruzzo, Sandra Collovini, Yoan Gutiérrez, Salud M. Jiménez-Zafra, Martin Krallinger, Manuel Montes-y-Gómez, Reynier Ortega-Bueno, Aiala Rosá:
Proceedings of the Iberian Languages Evaluation Forum co-located with 35th Conference of the Spanish Society for Natural Language Processing, IberLEF@SEPLN 2019, Bilbao, Spain, September 24th, 2019. CEUR Workshop Proceedings 2421, CEUR-WS.org 2019
Track 1: eHealth Knowledge Discovery (eHealth-KD)
- Alejandro Piad-Morffis, Yoan Gutiérrez, Juan Pablo Consuegra-Ayala, Suilan Estevez-Velarde, Yudivián Almeida-Cruz, Rafael Muñoz, Andrés Montoyo:
Overview of the eHealth Knowledge Discovery Challenge at IberLEF 2019. 1-16 - Neus Català, Mario Martín:
Coin_flipper at eHealth-KD Challenge 2019: Voting LSTMs for Key Phrases and Semantic Relation Identification Applied to Spanish eHealth Texts. 17-25 - Alejandro Ruiz-de-laCuadra, José Luis López Cuadrado, Israel González-Carrasco, Belén Ruíz-Mezcua:
Hulat-TaskA at eHealth-KD Challenge 2019: Sequence Key Phrases Recognition in the Spanish Clinical Narrative. 26-34 - Cristóbal Colón-Ruiz, Isabel Segura-Bedmar:
Hulat-TaskAB at eHealth-KD Challenge 2019: Knowledge Recognition from Health Documents by BiLSTM-CRF. 35-42 - Iakes Goenaga, Sergio Santana, Sara Santiso Gonzáles, Koldo Gojenola, Alicia Pérez, Arantza Casillas:
IxaMed at eHealth-KD Challenge 2019: Using Different Paradigms to Solve Clinical Relation Extraction. 43-50 - Àlex Bravo, Pablo Accuosto, Horacio Saggion:
LaSTUS-TALN at IberLEF 2019 eHealth-KD Challenge: Deep Learning Approaches to Information Extraction in Biomedical Texts. 51-59 - Alicia Lara-Clares, Ana García-Serrano:
LSI2_UNED at eHealth-KD Challenge 2019: A Few-shot Learning Model for Knowledge Discovery from eHealth Documents. 60-66 - Hermenegildo Fabregat, Andres Duque Fernandez, Juan Martínez-Romo, Lourdes Araujo:
NLP_UNED at eHealth-KD Challenge 2019: Deep Learning for Named Entity Recognition and Attentive Relation Extraction. 67-77 - Salvador Medina, Jordi Turmo:
TALP-UPC at eHealth-KD Challenge 2019: A Joint Model with Contextual Embeddings for Clinical Information Extraction. 78-84 - Jorge Mederos Alvarado, Ernesto Quevedo Caballero, Alejandro Rodríguez Pérez, Rocío Cruz Linares:
UH-MAJA-KD at eHealth-KD Challenge 2019: Deep Learning Models for Knowledge Discovery in Spanish eHealth Documents. 85-94 - Víctor Suárez-Paniagua:
VSP at eHealth-KD Challenge 2019: Recurrent Neural Networks for Relation Classification in Spanish eHealth Documents. 95-104
Track 2: Factuality Analysis and Classification Task (FACT)
- Aiala Rosá, Irene Castellón, Luis Chiruzzo, Hortensia Curell, Mathías Etcheverry, Ana Fernández Montraveta, Glòria Vázquez, Dina Wonsever:
Overview of FACT at IberLEF 2019: Factuality Analysis and Classification Task. 105-110 - Bhavukam Premjith, Kutti Padanayl Soman, Prabaharan Poornachandran:
Amrita_CEN@FACT: Factuality Identification in Spanish Text. 111-118 - Valentino Giudice:
Aspie96 at FACT (IberLEF 2019): Factuality Classification in Spanish Texts with Character-Level Convolutional RNN and Tokenization. 119-125 - Jihang Mao, Wanli Liu:
Factuality Classification Using the Pre-trained Language Representation Model BERT. 126-131
Track 3: Humor Analysis based on Human Annotation (HAHA)
- Luis Chiruzzo, Santiago Castro, Mathías Etcheverry, Diego Garat, Juan José Prada, Aiala Rosá:
Overview of HAHA at IberLEF 2019: Humor Analysis based on Human Annotation. 132-144 - Lutfiye Seda Mut Altin, Àlex Bravo, Horacio Saggion:
LaSTUS/TALN at HAHA: Humor Analysis based on Human Annotation. 145-150 - Andrew Cattle, Zhenjie Zhao, Evangelos E. Papalexakis, Xiaojuan Ma:
Generating Document Embeddings for Humor Recognition using Tensor Decomposition. 151-159 - Adilzhan Ismailov:
Humor Analysis Based on Human Annotation Challenge at IberLEF 2019: First-place Solution. 160-164 - Valentino Giudice:
Aspie96 at HAHA (IberLEF 2019): Humor Detection in Spanish Tweets with Character-Level Convolutional RNN. 165-171 - Bobak Farzin, Piotr Czapla, Jeremy Howard:
Applying a Pre-trained Language Model to Spanish Twitter Humor Prediction. 172-179 - Tristan Miller, Erik-Lân Do Dinh, Edwin Simpson, Iryna Gurevych:
OFAI-UKP at HAHA@IberLEF2019: Predicting the Humorousness of Tweets Using Gaussian Process Preference Learning. 180-190 - Avishek Garain:
Humor Analysis based on Human Annotation(HAHA)-2019: Humor Analysis at Tweet Level using Deep Learning. 191-196 - Jihang Mao, Wanli Liu:
A BERT-based Approach for Automatic Humor Detection and Scoring. 197-202 - José Ortiz-Bejar, Eric Sadit Tellez, Mario Graff, Daniela Moctezuma, Sabino Miranda-Jiménez:
INGEOTEC at IberLEF 2019 Task HaHa. 203-211 - Reynier Ortega Bueno, Paolo Rosso, José Medina-Pagola:
UO_UPV2 at HAHA 2019: BiGRU Neural Network Informed with Linguistic Features for Humor Recognition. 212-221 - Anna Glazkova, Nadezhda Ganzherli, Elena Mikhalkova:
UTMN at HAHA@IberLEF2019: Recognizing Humor in Spanish Tweets using Hard Parameter Sharing for Neural Networks. 222-228
Track 4: Irony Detection in Spanish Variants (IroSvA)
- Reynier Ortega Bueno, Francisco M. Rangel Pardo, Delia Irazú Hernández Farías, Paolo Rosso, Manuel Montes-y-Gómez, José Medina-Pagola:
Overview of the Task on Irony Detection in Spanish Variants. 229-256 - Alessandra Teresa Cignarella, Cristina Bosco:
ATC at IroSvA 2019: Shallow Syntactic Dependency-based Features for Irony Detection in Spanish Variants. 257-263 - Hiram Calvo, Omar Juárez Gambino:
Emotion-Based Cross-Variety Irony Detection. 264-271 - Hairo Ulises Miranda-Belmonte, Adrián Pastor López-Monroy:
Early Fusion of Traditional and Deep Features for Irony Detection in Twitter. 272-277 - José-Ángel González, Lluís-Felip Hurtado, Ferran Pla:
ELiRF-UPV at IroSvA: Transformer Encoders for Spanish Irony Detection. 278-284 - Lizeth García, Daniela Moctezuma, Víctor Muñiz:
A Contextualized Word Representation Approach for Irony Detection. 285-290 - Lutfiye Seda Mut Altin, Àlex Bravo, Horacio Saggion:
LaSTUS/TALN at IroSvA: Irony Detection in Spanish Variants. 291-296 - Simona Frenda, Viviana Patti:
Computational Models for Irony Detection in Three Spanish Variants. 297-309 - Diulia Justin Deon, Larissa Astrogildo de Freitas:
UFPelRules to Irony Detection in Spanish Variants. 310-314 - Daniel Castro, Llinet Benavides:
UO-CERPAMID at IroSvA: Impostor Method Adaptation for Irony Detection IroSvA@IberLEF 2019. 315-321 - Javier Iranzo-Sánchez, Ramon Ruiz-Dolz:
VRAIN at IroSva 2019: Exploring Classical and Transfer Learning Approaches to Short Message Irony Detection. 322-328
Track 5: Negation in Spanish (NEGES)
- Salud María Jiménez-Zafra, Noa Patricia Cruz Díaz, Roser Morante, María Teresa Martín Valdivia:
NEGES 2019 Task: Negation in Spanish. 329-341 - Valentino Giudice:
Aspie96 at NEGES (IberLEF 2019): Negation Cues Detection in Spanish with Character-Level Convolutional RNN and Tokenization. 342-351 - Javier Beltrán, Mónica González:
Detection of Negation Cues in Spanish: The CLiC-Neg System. 352-360 - Lluís Domínguez-Mas, Francesco Ronzano, Laura I. Furlong:
Supervised Learning Approaches to Detect Negation Cues in Spanish Reviews. 361-368 - Hermenegildo Fabregat, Andrés Duque, Juan Martínez-Romo, Lourdes Araujo:
Extending a Deep Learning Approach for Negation Cues Detection in Spanish. 369-377 - Jeremy Barnes:
LTG-Oslo Hierarchical Multi-task Network: The Importance of Negation for Document-level Sentiment in Spanish. 378-389
Track 6: Named Entity Recognition and Relation Extraction for Portuguese (NER_Portuguese)
- Sandra Collovini, Joaquim Francisco Santos Neto, Bernardo Scapini Consoli, Juliano Terra, Renata Vieira, Paulo Quaresma, Marlo Souza, Daniela Barreiro Claro, Rafael Glauber:
IberLEF 2019 Portuguese Named Entity Recognition and Relation Extraction Tasks. 390-410 - Pedro Vitor Quinta de Castro, Nádia Félix Felipe da Silva, Anderson da Silva Soares:
Contextual Representations and Semi-Supervised Named Entity Recognition for Portuguese Language. 411-420 - Juliana P. C. Pirovani, James Alves, Marcos Spalenza, Wesley Silva, Cristiano da Silveira Colombo, Elias Oliveira:
Adapting NER (CRF+LG) for Many Textual Genres. 421-433 - Joaquim Santos, Juliano Terra, Bernardo Scapini Consoli, Renata Vieira:
Multidomain Contextual Embeddings for Named Entity Recognition. 434-441 - Rafael Glauber, Daniela Barreiro Claro, Leandro Souza de Oliveira:
Dependency Parser on Open Information Extraction for Portuguese Texts - DptOIE and DependentIE on IberLEF. 442-448 - Rafael Glauber, Daniela Barreiro Claro, Cleiton Fernando Lima Sena:
Towards a Pragmatic Open Information Extraction for Portuguese Text - ICEIS17, InferPortOIE and PragmaticOIE on IberLEF. 449-456 - Pablo Gamallo, Marcos García, Patricia Martín-Rodilla:
NER and Open Information Extraction for Portuguese: Notebook for IberLEF 2019 Portuguese Named Entity Recognition and Relation Extraction Tasks. 457-467 - João Ferreira, Hugo Gonçalo Oliveira
, Ricardo Rodrigues:
NLPyPort: Named Entity Recognition with CRF and Rule-Based Relation Extraction. 468-477
Track 7: MEX-A3T: Authorship and aggressiveness analysis in Twitter: case study in Mexican Spanish
- Mario Ezra Aragón, Miguel Ángel Álvarez-Carmona, Manuel Montes-y-Gómez, Hugo Jair Escalante, Luis Villaseñor Pineda, Daniela Moctezuma:
Overview of MEX-A3T at IberLEF 2019: Authorship and Aggressiveness Analysis in Mexican Spanish Tweets. 478-494 - María Dolores Molina-González, Flor Miriam Plaza del Arco, María Teresa Martín-Valdivia, Luis Alfonso Ureña López:
Ensemble Learning to Detect Aggressiveness in Mexican Spanish Tweets. 495-501 - Daniel Castro-Castro, María Fernanda Artigas Herold, Reynier Ortega Bueno, Rafael Muñoz:
CerpamidUA at MexA3T 2019: Transition Point Proposal. 502-507 - Eduardo Valdez-Rodríguez, Hiram Calvo, Edgardo Manuel Felipe Riverón:
Author Profiling From Images Using 3D Convolutional Neural Networks. 508-514 - Gabriela Ramírez-de-la-Rosa, Esaú Villatoro-Tello, Héctor Jiménez-Salazar:
Attribute Selection Techniques for Classification of Aggressive Tweets LyR-UAMC participation at MexA3T 2019 Task. 515-519 - Germán Ortiz, Helena Gómez-Adorno, Jorge Reyes-Magaña, Gemma Bel-Enguix, Gerardo Sierra:
Detection of Aggressive Tweets in Mexican Spanish Using Multiple Features with Parameter Optimization. 520-525 - Òscar Garibo i Orts:
Aggressiveness Identification in Twitter at IberLEF2019: Frequency Analysis Interpolation for Aggressiveness Identification. 526-530 - Gretel Liz De la Peña Sarracén, Paolo Rosso:
Aggressive Analysis in Twitter using a Combination of Models. 531-536 - Marco Casavantes, Roberto López-Santillán, Luis Carlos González-Gurrola:
UACh at MEX-A3T 2019: Preliminary Results on Detecting Aggressive Tweets by Adding Author Information Via an Unsupervised Strategy. 537-543 - Victor Nina-Alcocer, José-Ángel González, Lluís-Felip Hurtado, Ferran Pla:
Aggressiveness Detection through Deep Learning Approaches. 544-549
Track 8: Sentiment Analysis Task at SEPLN (TASS)
- Manuel Carlos Díaz-Galiano, Manuel García Vega, Edgar Casasola, Luis Chiruzzo, Miguel Ángel García Cumbreras, Eugenio Martínez Cámara, Daniela Moctezuma, Arturo Montejo-Ráez, Marco Antonio Sobrevilla Cabezudo, Eric Sadit Tellez, Mario Graff, Sabino Miranda-Jiménez:
Overview of TASS 2019: One More Further for the Global Spanish Sentiment Analysis Corpus. 550-560 - Franco Martín Luque:
Atalaya at TASS 2019: Data Augmentation and Robust Embeddings for Sentiment Analysis. 561-570 - José-Ángel González, Lluís-Felip Hurtado, Ferran Pla:
ELiRF-UPV at TASS 2019: Transformer Encoders for Twitter Sentiment Analysis in Spanish. 571-578 - Ignacio González Godino, Luis Fernando D'Haro:
GTH-UPM at TASS 2019: Sentiment Analysis of Tweets for Spanish Variants. 579-588 - Rosa María Montañes-Salas, Rafael del-Hoyo-Alonso, Rocío Aznar-Gimeno:
From Recurrency to Attention in Opinion Analysis: Comparing RNN vs Transformer Models. 589-597 - Lutfiye Seda Mut Altin, Àlex Bravo, Horacio Saggion:
LaSTUS/TALN at TASS 2019: Sentiment Analysis for Spanish Language Variants with Neural Networks. 598-604 - Marcos Pastorini, Mauricio Pereira, Nicolás Zeballos, Luis Chiruzzo, Aiala Rosá, Mathías Etcheverry:
RETUYT-InCo at TASS 2019: Sentiment Analysis in Spanish Tweets. 605-610 - Avishek Garain, Sainik Kumar Mahata:
Sentiment Analysis at SEPLN (TASS)-2019: Sentiment Analysis at Tweet Level Using Deep Learning. 611-617
Track 9: Medical Document Anonymization Task (MEDDOCAN)
- Montserrat Marimon, Aitor Gonzalez-Agirre, Ander Intxaurrondo, Heidy Rodriguez, Jose Lopez Martin, Marta Villegas, Martin Krallinger:
Automatic De-identification of Medical Texts in Spanish: the MEDDOCAN Track, Corpus, Guidelines, Methods and Evaluation of Results. 618-638 - Jordi Porta Zamorano:
Spanish Medical Document Anonymization with Three-channel Convolutional Neural Networks. 639-646 - Bhavna Saluja, Gaurav Kumar, João Sedoc, Chris Callison-Burch:
Anonymization of Sensitive Information in Medical Health Records. 647-653 - Víctor Suárez-Paniagua:
VSP at MEDDOCAN 2019 De-Identification of Medical Documents in Spanish with Recurrent Neural Networks. 654-662 - Hermenegildo Fabregat, Andrés Duque, Juan Martínez-Romo, Lourdes Araujo:
De-Identification through Named Entity Recognition for Medical Document Anonymization. 663-670 - Lukas Lange, Heike Adel, Jannik Strötgen:
NLNDE: The Neither-Language-Nor-Domain-Experts' Way of Spanish Medical Document De-Identification. 671-678 - Cristóbal Colón-Ruiz, Isabel Segura-Bedmar:
Protected Health Information Recognition by BiLSTM-CRF. 679-686 - Pilar López-Úbeda, Manuel Carlos Díaz-Galiano, Luis Alfonso Ureña López, María Teresa Martín Valdivia:
Anonymization of Clinical Reports in Spanish: a Hybrid Method Based on Machine Learning and Rules. 687-695 - Naiara Pérez, Laura García-Sardiña, Manex Serras, Arantza del Pozo:
Vicomtech at MEDDOCAN: Medical Document Anonymization. 696-703 - Fernando Sánchez León:
Resource-Based Anonymization for Spanish Clinical Cases. 704-711 - Mohammed Jabreel, Fadi Hassan, Najlaa Maaroof, David Sánchez, Josep Domingo-Ferrer, Antonio Moreno:
E2EJ: Anonymization of Spanish Medical Records using End-to-End Joint Neural Networks. 712-719 - Jihang Mao, Wanli Liu:
Hadoken: a BERT-CRF Model for Medical Document Anonymization. 720-726 - Fadi Hassan, Mohammed Jabreel, Najlaa Maaroof, David Sánchez, Josep Domingo-Ferrer, Antonio Moreno:
ReCRF: Spanish Medical Document Anonymization using Automatically-crafted Rules and CRF. 727-734 - Mohammad Golam Sohrab, Pham Minh Thang, Makoto Miwa:
A Generic Neural Exhaustive Approach for Entity Recognition and Sensitive Span Detection. 735-743 - Viviana Cotik, Franco M. Luque, Juan Manuel Pérez:
Window Classifiers and Conditional Random Fields for Medical Report De-Identification. 744-754 - Alicia Lara-Clares, Ana García-Serrano:
Key Phrases Annotation in Medical Documents: MEDDOCAN 2019 Anonymization Task. 755-760 - Dehuan Jiang, Yedan Shen, Shuai Chen, Buzhou Tang, Xiaolong Wang, Qingcai Chen, Ruifeng Xu, Jun Yan, Yi Zhou:
A Deep Learning-Based System for the MEDDOCAN Task. 761-767
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