Table of Contents

• Overview of the DIANN Task: Disability Annotation TaskHermenegildo Fabregat, Juan Martinez-Romo, Lourdes Araujo. 1-14 [doi]
• GPLSIUA Team at the DIAAN 2018 TaskIsabel Moreno, María Teresa Romá-Ferri, Paloma Moreda. 15-24 [doi]
• Simple Language Independent Sequence Labelling for the Annotation of Disabilities in Medical TextsRodrigo Agerri, German Rigau. 25-30 [doi]
• A Hybrid Approach For Automatic Disability AnnotationIakes Goenaga, Aitziber Atutxa, Koldo Gojenola, Arantza Casillas, Arantza Díaz de Ilarraza, Nerea Ezeiza, Maite Oronoz, Alicia Pérez, Olatz Perez-de-Viñaspre. 31-36 [doi]
• SINAI at DIANN - IberEval 2018. Annotating Disabilities in Multi-language Systems with UMLSPilar López-Úbeda, Manuel Carlos Díaz-Galiano, María-Teresa Martín Valdivia, Salud María Jiménez Zafra. 37-43 [doi]
• A Hybrid Bi-LSTM-CRF Model to Recognition of Disabilities from Biomedical TextsRenzo M. Rivera Zavala, Paloma Martínez, Isabel Segura-Bedmar. 44-52 [doi]
• UNED at DIANN 2018: Unsupervised System for Automatic Disabilities Labeling in Medical Scientific DocumentsHermenegildo Fabregat, Juan Martinez-Romo, Lourdes Araujo. 53-60 [doi]
• Basic CRF Approach to DIANN 2018 Shared TaskPol Alvarez Vecino, Lluís Padró. 61-65 [doi]
• Semi-supervised Learning for Disabilities Detection on English and Spanish Biomedical TextSalvador Medina, Jordi Turmo, Henry Loharja, Lluís Padró. 66-73 [doi]
• Overview of MEX-A3T at IberEval 2018: Authorship and Aggressiveness Analysis in Mexican Spanish TweetsMiguel Ángel Álvarez Carmona, Estefanía Guzmán-Falcón, Manuel Montes-y-Gómez, Hugo Jair Escalante, Luis Villaseñor Pineda, Verónica Reyes-Meza, Antonio Rico Sulayes. 74-96 [doi]
• CIC-GIL Approach to Author Profiling in Spanish Tweets: Location and OccupationIlia Markov, Helena Gómez-Adorno, Mónica Jasso Rosales, Grigori Sidorov. 97-101 [doi]
• A Machine Learning Approach for Detecting Aggressive Tweets in SpanishHelena Gómez-Adorno, Gemma Bel-Enguixa, Gerardo Sierra, Octavio Sánchez, Daniela Quezada. 102-107 [doi]
• Deep Analysis in Aggressive Mexican TweetsSimona Frenda, Somnath Banerjee. 108-113 [doi]
• Attention Mechanism for Aggressive DetectionCarlos Enrique Muñiz-Cuza, Gretel Liz De la Peña Sarracén, Paolo Rosso. 114-118 [doi]
• Linguistic Generalization of Slang Used in Mexican Tweets, Applied in Aggressiveness DetectionSebastián Correa, Alberto Martin. 119-127 [doi]
• INGEOTEC at MEX-A3T: Author Profiling and Aggressiveness Analysis in Twitter Using μTC and EvoMSAMario Graff, Sabino Miranda-Jiménez, Eric Sadit Tellez, Daniela Moctezuma, Vladimir Salgado, José Ortiz-Bejar, Claudia N. Sánchez. 128-133 [doi]
• Author Profiling and Aggressiveness Detection in Spanish Tweets: MEX-A3T 2018Mario Ezra Aragón, Adrián Pastor López-Monroy. 134-139 [doi]
• The Winning Approach for Author Profiling of Mexican Users in Twitter at MEX.A3T@IBEREVAL-2018Rosa María Ortega-Mendoza, Adrián Pastor López-Monroy. 140-148 [doi]
• Overview of the Task on Multimodal Stance Detection in Tweets on Catalan #1Oct ReferendumMariona Taulé, Francisco M. Rangel Pardo, M. Antònia Martí, Paolo Rosso. 149-166 [doi]
• CriCa Team: MultiModal Stance Detection in Tweets on Catalan 1Oct Referendum (MultiStanceCat)Carlos Almendros Cuquerella, Cristóbal Cervantes Rodríguez. 167-172 [doi]
• ELiRF-UPV at MultiStanceCat 2018José-Ángel González, Lluís-Felip Hurtado, Ferran Pla. 173-179 [doi]
• LABDA's Early Steps Toward Multimodal Stance DetectionIsabel Segura-Bedmar. 180-186 [doi]
• Overview of the HAHA Task: Humor Analysis Based on Human Annotation at IberEval 2018Santiago Castro, Luis Chiruzzo, Aiala Rosá. 187-194 [doi]
• INGEOTEC at IberEval 2018 Task HaHa: μTC and EvoMSA to Detect and Score Humor in TextsJosé Ortiz-Bejar, Vladimir Salgado, Mario Graff, Daniela Moctezuma, Sabino Miranda-Jiménez, Eric Sadit Tellez. 195-202 [doi]
• UO_UPV: Deep Linguistic Humor Detection in Spanish Social MediaReynier Ortega Bueno, Carlos E. Muñiz-Cuza, José Eladio Medina-Pagola, Paolo Rosso. 203-213 [doi]
• Overview of the Task on Automatic Misogyny Identification at IberEval 2018Elisabetta Fersini, Paolo Rosso, Maria Anzovino. 214-228 [doi]
• Misogyny Identification Through SVM at IberEval 2018Jose Sebastián Canós. 229-233 [doi]
• 14-ExLab@UniTo for AMI at IberEval2018: Exploiting Lexical Knowledge for Detecting Misogyny in English and Spanish TweetsEndang Wahyu Pamungkas, Alessandra Teresa Cignarella, Valerio Basile, Viviana Patti. 234-241 [doi]
• Detecting Misogynous TweetsResham Ahluwalia, Evgeniia Shcherbinina, Edward Callow, Anderson C. A. Nascimento, Martine De Cock. 242-248 [doi]
• Automatic Misogyny Identification Using Neural NetworksIakes Goenaga, Aitziber Atutxa, Koldo Gojenola, Arantza Casillas, Arantza Díaz de Ilarraza, Nerea Ezeiza, Maite Oronoz, Alicia Pérez, Olatz Perez-de-Viñaspre. 249-254 [doi]
• Classifying Misogynistic Tweets Using a Blended Model: The AMI Shared Task in IBEREVAL 2018Elena Shushkevich, John Cardiff. 255-259 [doi]
• Exploration of Misogyny in Spanish and English TweetsSimona Frenda, Bilal Ghanem, Manuel Montes-y-Gómez. 260-267 [doi]
• Identification and Classification of Misogynous Tweets Using Multi-classifier FusionHan Liu 0002, Fatima Chiroma, Mihaela Cocea. 268-273 [doi]
• AMI at IberEval2018 Automatic Misogyny Identification in Spanish and English TweetsVictor Nina-Alcocer. 274-279 [doi]
• Finding Mentions of Abbreviations and Their Definitions in Spanish Clinical Cases: The BARR2 Shared Task Evaluation ResultsAnder Intxaurrondo, Montserrat Marimon, Aitor Gonzalez-Agirre, Jose Antonio López-Martín, Heidy Rodriguez, Jesus Santamaría, Marta Villegas, Martin Krallinger. 280-289 [doi]
• MAMTRA-MED at Biomedical Abbreviation Recognition and Resolution - IberEval 2018Soto Montalvo, Raquel Martínez, Mario Almagro, Susana Lorenzo. 290-296 [doi]
• A Simple Method to Extract Abbreviations Within a Document Using Regular ExpressionsChristian Sánchez, Paloma Martínez. 297-301 [doi]
• ARBOREx: Abbreviation Resolution Based on Regular Expressions for BARR2Fernando Sánchez León. 302-315 [doi]
• A Simple Approach to Abbreviation Resolution at BARR2, IberEval 2018José Castaño, Pilar Ávila, David Pérez, Hernán Berinsky, Hee Park, Maria Laura Gambarte, Daniel R. Luna. 316-321 [doi]
• Vicomtech at BARR2: Detecting Biomedical Abbreviations with ML Methods and Dictionary-based HeuristicsMontse Cuadros, Naiara Pérez, Iker Montoya, Aitor García Pablos. 322-328 [doi]