Abstract is missing.
- Overview of the eHealth Knowledge Discovery Challenge at IberLEF 2019Alejandro Piad-Morffis, Yoan Gutiérrez, Juan Pablo Consuegra-Ayala, Suilan Estevez-Velarde, Yudivián Almeida-Cruz, Rafael Muñoz 0001, Andrés Montoyo. 1-16 [doi]
- Coin_flipper at eHealth-KD Challenge 2019: Voting LSTMs for Key Phrases and Semantic Relation Identification Applied to Spanish eHealth TextsNeus Català, Mario Martín. 17-25 [doi]
- Hulat-TaskA at eHealth-KD Challenge 2019: Sequence Key Phrases Recognition in the Spanish Clinical NarrativeAlejandro Ruiz-de-laCuadra, José Luis López Cuadrado, Israel González-Carrasco, Belén Ruíz-Mezcua. 26-34 [doi]
- Hulat-TaskAB at eHealth-KD Challenge 2019: Knowledge Recognition from Health Documents by BiLSTM-CRFCristóbal Colón-Ruiz, Isabel Segura-Bedmar. 35-42 [doi]
- IxaMed at eHealth-KD Challenge 2019: Using Different Paradigms to Solve Clinical Relation ExtractionIakes Goenaga, Sergio Santana, Sara Santiso, Koldo Gojenola, Alicia Pérez, Arantza Casillas. 43-50 [doi]
- LaSTUS-TALN at IberLEF 2019 eHealth-KD Challenge: Deep Learning Approaches to Information Extraction in Biomedical TextsÀlex Bravo, Pablo Accuosto, Horacio Saggion. 51-59 [doi]
- LSI2_UNED at eHealth-KD Challenge 2019: A Few-shot Learning Model for Knowledge Discovery from eHealth DocumentsAlicia Lara-Clares, Ana M. García-Serrano. 60-66 [doi]
- NLP_UNED at eHealth-KD Challenge 2019: Deep Learning for Named Entity Recognition and Attentive Relation ExtractionHermenegildo Fabregat, Andres Duque Fernandez, Juan Martinez-Romo, Lourdes Araujo. 67-77 [doi]
- TALP-UPC at eHealth-KD Challenge 2019: A Joint Model with Contextual Embeddings for Clinical Information ExtractionSalvador Medina, Jordi Turmo. 78-84 [doi]
- UH-MAJA-KD at eHealth-KD Challenge 2019: Deep Learning Models for Knowledge Discovery in Spanish eHealth DocumentsJorge Mederos Alvarado, Ernesto Quevedo Caballero, Alejandro Rodríguez Pérez, Rocío Cruz Linares. 85-94 [doi]
- VSP at eHealth-KD Challenge 2019: Recurrent Neural Networks for Relation Classification in Spanish eHealth DocumentsVíctor Suárez-Paniagua. 95-104 [doi]
- Overview of FACT at IberLEF 2019: Factuality Analysis and Classification TaskAiala Rosá, Irene Castellón, Luis Chiruzzo, Hortensia Curell, Mathías Etcheverry, Ana Fernández Montraveta, Glòria Vázquez, Dina Wonsever. 105-110 [doi]
- Amrita_CEN@FACT: Factuality Identification in Spanish TextBhavukam Premjith, Kutti Padannayl Soman, Prabaharan Poornachandran. 111-118 [doi]
- Aspie96 at FACT (IberLEF 2019): Factuality Classification in Spanish Texts with Character-Level Convolutional RNN and TokenizationValentino Giudice. 119-125 [doi]
- Factuality Classification Using the Pre-trained Language Representation Model BERTJihang Mao, Wanli Liu. 126-131 [doi]
- Overview of HAHA at IberLEF 2019: Humor Analysis based on Human AnnotationLuis Chiruzzo, Santiago Castro, Mathías Etcheverry, Diego Garat, Juan José Prada, Aiala Rosá. 132-144 [doi]
- LaSTUS/TALN at HAHA: Humor Analysis based on Human AnnotationLutfiye Seda Mut Altin, Àlex Bravo, Horacio Saggion. 145-150 [doi]
- Generating Document Embeddings for Humor Recognition using Tensor DecompositionAndrew Cattle, Zhenjie Zhao, Evangelos Papalexakis, Xiaojuan Ma. 151-159 [doi]
- Humor Analysis Based on Human Annotation Challenge at IberLEF 2019: First-place SolutionAdilzhan Ismailov. 160-164 [doi]
- Aspie96 at HAHA (IberLEF 2019): Humor Detection in Spanish Tweets with Character-Level Convolutional RNNValentino Giudice. 165-171 [doi]
- Applying a Pre-trained Language Model to Spanish Twitter Humor PredictionBobak Farzin, Piotr Czapla, Jeremy Howard. 172-179 [doi]
- OFAI-UKP at HAHA@IberLEF2019: Predicting the Humorousness of Tweets Using Gaussian Process Preference LearningTristan Miller, Erik-Lân Do Dinh, Edwin Simpson, Iryna Gurevych. 180-190 [doi]
- Humor Analysis based on Human Annotation(HAHA)-2019: Humor Analysis at Tweet Level using Deep LearningAvishek Garain. 191-196 [doi]
- A BERT-based Approach for Automatic Humor Detection and ScoringJihang Mao, Wanli Liu. 197-202 [doi]
- INGEOTEC at IberLEF 2019 Task HaHaJosé Ortiz-Bejar, Eric Sadit Tellez, Mario Graff, Daniela Moctezuma, Sabino Miranda-Jiménez. 203-211 [doi]
- UO_UPV2 at HAHA 2019: BiGRU Neural Network Informed with Linguistic Features for Humor RecognitionReynier Ortega Bueno, Paolo Rosso, José Medina Pagola. 212-221 [doi]
- UTMN at HAHA@IberLEF2019: Recognizing Humor in Spanish Tweets using Hard Parameter Sharing for Neural NetworksAnna Glazkova, Nadezhda Ganzherli, Elena Mikhalkova. 222-228 [doi]
- Overview of the Task on Irony Detection in Spanish VariantsReynier Ortega Bueno, Francisco Rangel, Delia Irazú Hernández Farías, Paolo Rosso, Manuel Montes-y-Gómez, José Medina Pagola. 229-256 [doi]
- ATC at IroSvA 2019: Shallow Syntactic Dependency-based Features for Irony Detection in Spanish VariantsAlessandra Teresa Cignarella, Cristina Bosco. 257-263 [doi]
- Emotion-Based Cross-Variety Irony DetectionHiram Calvo, Omar Juárez Gambino. 264-271 [doi]
- Early Fusion of Traditional and Deep Features for Irony Detection in TwitterHairo Ulises Miranda-Belmonte, Adrián Pastor López-Monroy. 272-277 [doi]
- ELiRF-UPV at IroSvA: Transformer Encoders for Spanish Irony DetectionJosé-Ángel González, Lluís-Felip Hurtado, Ferran Pla. 278-284 [doi]
- A Contextualized Word Representation Approach for Irony DetectionLizeth García, Daniela Moctezuma, Víctor Muñiz. 285-290 [doi]
- LaSTUS/TALN at IroSvA: Irony Detection in Spanish VariantsLutfiye Seda Mut Altin, Àlex Bravo, Horacio Saggion. 291-296 [doi]
- Computational Models for Irony Detection in Three Spanish VariantsSimona Frenda, Viviana Patti. 297-309 [doi]
- UFPelRules to Irony Detection in Spanish VariantsDiulia Justin Deon, Larissa Astrogildo de Freitas. 310-314 [doi]
- UO-CERPAMID at IroSvA: Impostor Method Adaptation for Irony Detection IroSvA@IberLEF 2019Daniel Castro, Llinet Benavides. 315-321 [doi]
- VRAIN at IroSva 2019: Exploring Classical and Transfer Learning Approaches to Short Message Irony DetectionJavier Iranzo-Sánchez, Ramon Ruiz-Dolz. 322-328 [doi]
- NEGES 2019 Task: Negation in SpanishSalud María Jiménez Zafra, Noa Patricia Cruz Díaz, Roser Morante, María-Teresa Martín Valdivia. 329-341 [doi]
- Aspie96 at NEGES (IberLEF 2019): Negation Cues Detection in Spanish with Character-Level Convolutional RNN and TokenizationValentino Giudice. 342-351 [doi]
- Detection of Negation Cues in Spanish: The CLiC-Neg SystemJavier Beltrán, Mónica González. 352-360 [doi]
- Supervised Learning Approaches to Detect Negation Cues in Spanish ReviewsLluís Domínguez-Mas, Francesco Ronzano, Laura I. Furlong. 361-368 [doi]
- Extending a Deep Learning Approach for Negation Cues Detection in SpanishHermenegildo Fabregat, Andres Duque, Juan Martinez-Romo, Lourdes Araujo. 369-377 [doi]
- LTG-Oslo Hierarchical Multi-task Network: The Importance of Negation for Document-level Sentiment in SpanishJeremy Barnes. 378-389 [doi]
- IberLEF 2019 Portuguese Named Entity Recognition and Relation Extraction TasksSandra Collovini, Joaquim Francisco Santos Neto, Bernardo Scapini Consoli, Juliano Terra, Renata Vieira, Paulo Quaresma, Marlo Souza, Daniela Barreiro Claro, Rafael Glauber. 390-410 [doi]
- Contextual Representations and Semi-Supervised Named Entity Recognition for Portuguese LanguagePedro Vitor Quinta de Castro, Nádia Félix Felipe da Silva, Anderson da Silva Soares. 411-420 [doi]
- Adapting NER (CRF+LG) for Many Textual GenresJuliana P. C. Pirovani, James Alves, Marcos Spalenza, Wesley Silva, Cristiano da Silveira Colombo, Elias Oliveira. 421-433 [doi]
- Multidomain Contextual Embeddings for Named Entity RecognitionJoaquim Santos, Juliano Terra, Bernardo Scapini Consoli, Renata Vieira. 434-441 [doi]
- Dependency Parser on Open Information Extraction for Portuguese Texts - DptOIE and DependentIE on IberLEFRafael Glauber, Daniela Barreiro Claro, Leandro Souza de Oliveira. 442-448 [doi]
- Towards a Pragmatic Open Information Extraction for Portuguese Text - ICEIS17, InferPortOIE and PragmaticOIE on IberLEFRafael Glauber, Daniela Barreiro Claro, Cleiton Fernando Lima Sena. 449-456 [doi]
- NER and Open Information Extraction for Portuguese: Notebook for IberLEF 2019 Portuguese Named Entity Recognition and Relation Extraction TasksPablo Gamallo 0001, Marcos García, Patricia Martín-Rodilla. 457-467 [doi]
- NLPyPort: Named Entity Recognition with CRF and Rule-Based Relation ExtractionJoão Ferreira, Hugo Gonçalo Oliveira, Ricardo Rodrigues 0001. 468-477 [doi]
- Overview of MEX-A3T at IberLEF 2019: Authorship and Aggressiveness Analysis in Mexican Spanish TweetsMario Ezra Aragón, Miguel Ángel Álvarez Carmona, Manuel Montes-y-Gómez, Hugo Jair Escalante, Luis Villaseñor Pineda, Daniela Moctezuma. 478-494 [doi]
- Ensemble Learning to Detect Aggressiveness in Mexican Spanish TweetsMaría Dolores Molina-González, Flor Miriam Plaza del Arco, María-Teresa Martín Valdivia, Luis Alfonso Ureña López. 495-501 [doi]
- CerpamidUA at MexA3T 2019: Transition Point ProposalDaniel Castro-Castro, María Fernanda Artigas Herold, Reynier Ortega Bueno, Rafael Muñoz 0001. 502-507 [doi]
- Author Profiling From Images Using 3D Convolutional Neural NetworksEduardo Valdez-Rodríguez, Hiram Calvo, Edgardo Manuel Felipe Riverón. 508-514 [doi]
- Attribute Selection Techniques for Classification of Aggressive Tweets LyR-UAMC participation at MexA3T 2019 TaskGabriela Ramírez-de-la-Rosa, Esaú Villatoro-Tello, Héctor Jiménez-Salazar. 515-519 [doi]
- Detection of Aggressive Tweets in Mexican Spanish Using Multiple Features with Parameter OptimizationGermán Ortiz, Helena Gómez-Adorno, Jorge Reyes-Magaña, Gemma Bel Enguix, Gerardo Sierra. 520-525 [doi]
- Aggressiveness Identification in Twitter at IberLEF2019: Frequency Analysis Interpolation for Aggressiveness IdentificationÓscar Garibo i Orts. 526-530 [doi]
- Aggressive Analysis in Twitter using a Combination of ModelsGretel Liz De la Peña Sarracén, Paolo Rosso. 531-536 [doi]
- UACh at MEX-A3T 2019: Preliminary Results on Detecting Aggressive Tweets by Adding Author Information Via an Unsupervised StrategyMarco Casavantes, Roberto López, Luis Carlos González. 537-543 [doi]
- Aggressiveness Detection through Deep Learning ApproachesVictor Nina-Alcocer, José-Ángel González, Lluís-Felip Hurtado, Ferran Pla. 544-549 [doi]
- Overview of TASS 2019: One More Further for the Global Spanish Sentiment Analysis CorpusManuel 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. 550-560 [doi]
- Atalaya at TASS 2019: Data Augmentation and Robust Embeddings for Sentiment AnalysisFranco Martín Luque. 561-570 [doi]
- ELiRF-UPV at TASS 2019: Transformer Encoders for Twitter Sentiment Analysis in SpanishJosé-Ángel González, Lluís-Felip Hurtado, Ferran Pla. 571-578 [doi]
- GTH-UPM at TASS 2019: Sentiment Analysis of Tweets for Spanish VariantsIgnacio González Godino, Luis Fernando D'Haro. 579-588 [doi]
- From Recurrency to Attention in Opinion Analysis: Comparing RNN vs Transformer ModelsRosa María Montañes-Salas, Rafael del-Hoyo-Alonso, Rocío Aznar-Gimeno. 589-597 [doi]
- LaSTUS/TALN at TASS 2019: Sentiment Analysis for Spanish Language Variants with Neural NetworksLutfiye Seda Mut Altin, Àlex Bravo, Horacio Saggion. 598-604 [doi]
- RETUYT-InCo at TASS 2019: Sentiment Analysis in Spanish TweetsMarcos Pastorini, Mauricio Pereira, Nicolás Zeballos, Luis Chiruzzo, Aiala Rosá, Mathías Etcheverry. 605-610 [doi]
- Sentiment Analysis at SEPLN (TASS)-2019: Sentiment Analysis at Tweet Level Using Deep LearningAvishek Garain, Sainik Kumar Mahata. 611-617 [doi]
- Automatic De-identification of Medical Texts in Spanish: the MEDDOCAN Track, Corpus, Guidelines, Methods and Evaluation of ResultsMontserrat Marimon, Aitor Gonzalez-Agirre, Ander Intxaurrondo, Heidy Rodriguez, Jose Lopez Martin, Marta Villegas, Martin Krallinger. 618-638 [doi]
- Spanish Medical Document Anonymization with Three-channel Convolutional Neural NetworksJordi Porta Zamorano. 639-646 [doi]
- Anonymization of Sensitive Information in Medical Health RecordsBhavna Saluja, Gaurav Kumar, João Sedoc, Chris Callison-Burch. 647-653 [doi]
- VSP at MEDDOCAN 2019 De-Identification of Medical Documents in Spanish with Recurrent Neural NetworksVíctor Suárez-Paniagua. 654-662 [doi]
- De-Identification through Named Entity Recognition for Medical Document AnonymizationHermenegildo Fabregat, Andres Duque, Juan Martinez-Romo, Lourdes Araujo. 663-670 [doi]
- NLNDE: The Neither-Language-Nor-Domain-Experts' Way of Spanish Medical Document De-IdentificationLukas Lange, Heike Adel, Jannik Strötgen. 671-678 [doi]
- Protected Health Information Recognition by BiLSTM-CRFCristóbal Colón-Ruiz, Isabel Segura-Bedmar. 679-686 [doi]
- Anonymization of Clinical Reports in Spanish: a Hybrid Method Based on Machine Learning and RulesPilar López-Úbeda, Manuel Carlos Díaz-Galiano, Luis Alfonso Ureña López, María-Teresa Martín Valdivia. 687-695 [doi]
- Vicomtech at MEDDOCAN: Medical Document AnonymizationNaiara Perez, Laura García-Sardiña, Manex Serras, Arantza del Pozo. 696-703 [doi]
- Resource-Based Anonymization for Spanish Clinical CasesFernando Sánchez León. 704-711 [doi]
- E2EJ: Anonymization of Spanish Medical Records using End-to-End Joint Neural NetworksMohammed Jabreel, Fadi Hassan, Najlaa Maaroof, David Sánchez 0001, Josep Domingo-Ferrer, Antonio Moreno. 712-719 [doi]
- Hadoken: a BERT-CRF Model for Medical Document AnonymizationJihang Mao, Wanli Liu. 720-726 [doi]
- ReCRF: Spanish Medical Document Anonymization using Automatically-crafted Rules and CRFFadi Hassan, Mohammed Jabreel, Najlaa Maaroof, David Sánchez 0001, Josep Domingo-Ferrer, Antonio Moreno. 727-734 [doi]
- A Generic Neural Exhaustive Approach for Entity Recognition and Sensitive Span DetectionMohammad Golam Sohrab, Pham Minh Thang, Makoto Miwa. 735-743 [doi]
- Window Classifiers and Conditional Random Fields for Medical Report De-IdentificationViviana Cotik, Franco M. Luque, Juan Manuel Pérez. 744-754 [doi]
- Key Phrases Annotation in Medical Documents: MEDDOCAN 2019 Anonymization TaskAlicia Lara-Clares, Ana García-Serrano. 755-760 [doi]
- A Deep Learning-Based System for the MEDDOCAN TaskDehuan Jiang, Yedan Shen, Shuai Chen, Buzhou Tang, Xiaolong Wang, Qingcai Chen, Ruifeng Xu, Jun Yan, Yi Zhou. 761-767 [doi]