Una Propuesta para el Etiquetado Automático de Roles Semánticos. - Isabel Segura-Bedmar; José Luis Martínez-Fernández; Paloma Martínez (Proces. del Leng. Natural, 2006)

Detecting Semantic Relations Between Nominals Using Support Vector Machines and Linguistic-Based Rules. - Isabel Segura-Bedmar; Doaa Samy; José Luis Martínez-Fernández; Paloma Martínez (OTM Workshops (2), 2007)

UCM3: Classification of Semantic Relations between Nominals using Sequential Minimal Optimization. - Isabel Segura-Bedmar; Doaa Samy; José L. Martínez (SemEval@ACL, 2007)

A preliminary approach to extract drugs by combining UMLS resources and USAN naming conventions. - Isabel Segura-Bedmar; Paloma Martínez; Doaa Samy (BioNLP, 2008)

Detección de fármacos genéricos en textos biomédicos. - Isabel Segura-Bedmar; Paloma Martínez; Doaa Samy (Proces. del Leng. Natural, 2008)

DrugNerAR: linguistic rule-based anaphora resolver for drug-drug interaction extraction in pharmacological documents. - Isabel Segura-Bedmar; Mario Crespo; César de Pablo-Sánchez; Paloma Martínez (DTMBIO, 2009)

Score-Based Approach for Anaphora Resolution in Drug-Drug Interactions Documents. - Isabel Segura-Bedmar; Mario Crespo; César de Pablo-Sánchez (NLDB, 2009)

The UC3M team at the Knowledge Base Population task. - César de Pablo-Sánchez; Juan Perea; Isabel Segura-Bedmar; Paloma Martínez (TAC, 2009)

Resolving anaphoras for the extraction of drug-drug interactions in pharmacological documents. - Isabel Segura-Bedmar; Mario Crespo; César de Pablo-Sánchez; Paloma Martínez (BMC Bioinform., 2010)

Extracting drug-drug interactions from biomedical texts. - Isabel Segura-Bedmar; Paloma Martínez; César de Pablo-Sánchez (BMC Bioinform., 2010)

A comparison of machine learning techniques for detection of drug target articles. - Roxana Dánger; Isabel Segura-Bedmar; Paloma Martínez Fernández; Paolo Rosso (J. Biomed. Informatics, 2010)

DDIExtractor: A Web-Based Java Tool for Extracting Drug-Drug Interactions from Biomedical Texts. - Daniel Sánchez-Cisneros; Isabel Segura-Bedmar; Paloma Martínez (NLDB, 2011)

A linguistic rule-based approach to extract drug-drug interactions from pharmacological documents. - Isabel Segura-Bedmar; Paloma Martínez; César de Pablo-Sánchez (BMC Bioinform., 2011)

Using a shallow linguistic kernel for drug-drug interaction extraction. - Isabel Segura-Bedmar; Paloma Martínez; César de Pablo-Sánchez (J. Biomed. Informatics, 2011)

Prototipo buscador de información médica en corpus multilingües y extractor de información sobre fármacos. - Daniel Sánchez-Cisneros; Isabel Segura-Bedmar; Paloma Martínez Fernández (Proces. del Leng. Natural, 2012)

Combining dictionaries and ontologies for drug name recognition in biomedical texts. - Daniel Sánchez-Cisneros; Paloma Martínez; Isabel Segura-Bedmar (DTMBIO, 2013)

SemEval-2013 Task 9 : Extraction of Drug-Drug Interactions from Biomedical Texts (DDIExtraction 2013). - Isabel Segura-Bedmar; Paloma Martínez; María Herrero-Zazo (SemEval@NAACL-HLT, 2013)

An Ontology for Drug-drug Interactions. - María Herrero-Zazo; Janna Hastings; Isabel Segura-Bedmar; Samuel Croset; Paloma Martínez; Christoph Steinbeck (SWAT4LS, 2013)

A Web Prototype for Detecting Chemical Compounds and Drugs. - Daniel Sánchez-Cisneros; Sara Lana-Serrano; Isabel Segura-Bedmar; Leonardo Campillos-Llanos; Paloma Martínez Fernández (SWAT4LS, 2013)

The DDI corpus: An annotated corpus with pharmacological substances and drug-drug interactions. - María Herrero-Zazo; Isabel Segura-Bedmar; Paloma Martínez; Thierry Declerck (J. Biomed. Informatics, 2013)

Lightly supervised acquisition of named entities and linguistic patterns for multilingual text mining. - César de Pablo-Sánchez; Isabel Segura-Bedmar; Paloma Martínez; Ana Iglesias-Maqueda (Knowl. Inf. Syst., 2013)

Detecting drugs and adverse events from Spanish social media streams. - Isabel Segura-Bedmar; Ricardo Revert; Paloma Martínez (Louhi@EACL, 2014)

Extracting drug indications and adverse drug reactions from Spanish health social media. - Isabel Segura-Bedmar; Santiago de la Peña; Paloma Martínez (BioNLP@ACL, 2014)

Women in computer science: Survey on the perception of the women's participation in STEM studies. - Lourdes Moreno 001; Yolanda González; Isabel Segura-Bedmar; Paloma Martínez (Interacción, 2014)

Lessons learnt from the DDIExtraction-2013 Shared Task. - Isabel Segura-Bedmar; Paloma Martínez; María Herrero-Zazo (J. Biomed. Informatics, 2014)

TrendMiner: Large-scale Cross-lingual Trend Mining Summarization of Real-time Media Streams. - Paloma Martínez; Isabel Segura-Bedmar; Thierry Declerck; José Luis Martínez-Fernández (Proces. del Leng. Natural, 2014)

ADRSpanishTool: a tool for extracting adverse drug reactions and indications. - Santiago de la Peña; Isabel Segura-Bedmar; Paloma Martínez; José Luis Martínez-Fernández (Proces. del Leng. Natural, 2014)

Exploring Word Embedding for Drug Name Recognition. - Isabel Segura-Bedmar; Víctor Suárez-Paniagua; Paloma Martínez (Louhi@EMNLP, 2015)

Exploring language technologies to provide support to WCAG 2.0 and E2R guidelines. - Lourdes Moreno 001; Paloma Martínez; Isabel Segura-Bedmar; Ricardo Revert (Interacción, 2015)

Application of Domain Ontologies to Natural Language Processing: A Case Study for Drug-Drug Interactions. - María Herrero-Zazo; Isabel Segura-Bedmar; Janna Hastings; Paloma Martínez (Int. J. Inf. Retr. Res., 2015)

Pharmacovigilance through the development of text mining and natural language processing techniques. - Isabel Segura-Bedmar; Paloma Martínez (J. Biomed. Informatics, 2015)

The CHEMDNER corpus of chemicals and drugs and its annotation principles. - Martin Krallinger; Obdulia Rabal; Florian Leitner; Miguel Vazquez; David Salgado; Zhiyong Lu; Robert Leaman; Yanan Lu; Donghong Ji; Daniel M. Lowe; Roger A. Sayle; Riza Theresa Batista-Navarro; et al. (J. Cheminformatics, 2015)

DINTO: Using OWL Ontologies and SWRL Rules to Infer Drug-Drug Interactions and Their Mechanisms. - María Herrero-Zazo; Isabel Segura-Bedmar; Janna Hastings; Paloma Martínez (J. Chem. Inf. Model., 2015)

Exploring Spanish health social media for detecting drug effects. - Isabel Segura-Bedmar; Paloma Martínez; Ricardo Revert; Julián Moreno Schneider (BMC Medical Informatics Decis. Mak., 2015)

Using Recursive Neural Networks to Detect and Classify Drug-Drug Interactions from Biomedical Texts. - Víctor Suárez-Paniagua; Isabel Segura-Bedmar (ECAI, 2016)

LABDA at the 2016 TASS Challenge Task: Using Word Embeddings for the Sentiment Analysis Task. - Antonio Quirós; Isabel Segura-Bedmar; Paloma Martínez (TASS@SEPLN, 2016)

Simplifying Drug Package Leaflets. - Isabel Segura-Bedmar; Luis Núñez-Gómez; Paloma Martínez Fernández; Maribel Quiroz (SMBM, 2016)

Turning user generated health-related content into actionable knowledge through text analytics services. - Paloma Martínez; José L. Martínez; Isabel Segura-Bedmar; Julián Moreno Schneider; Adrián Luna; Ricardo Revert (Comput. Ind., 2016)

Conceptual models of drug-drug interactions: A summary of recent efforts. - María Herrero-Zazo; Isabel Segura-Bedmar; Paloma Martínez (Knowl. Based Syst., 2016)

EasyLecto: Un sistema de simplificación léxica de efectos adversos presentes en prospectos de fármacos en español. - Luis Núñez-Gómez; Isabel Segura-Bedmar; Paloma Martínez Fernández (Proces. del Leng. Natural, 2016)

Exploring Convolutional Neural Networks for Sentiment Analysis of Spanish tweets. - Isabel Segura-Bedmar; Antonio Quirós; Paloma Martínez (EACL (1), 2017)

LABDA at SemEval-2017 Task 10: Extracting Keyphrases from Scientific Publications by combining the BANNER tool and the UMLS Semantic Network. - Isabel Segura-Bedmar; Cristóbal Colón-Ruiz; Paloma Martínez (SemEval@ACL, 2017)

LABDA at SemEval-2017 Task 10: Relation Classification between keyphrases via Convolutional Neural Network. - Víctor Suárez-Paniagua; Isabel Segura-Bedmar; Paloma Martínez (SemEval@ACL, 2017)

MC-UC3M Participation at TAC 2017 Adverse Drug Reaction Extraction from Drug Labels. - José L. Martínez; Isabel Segura-Bedmar; Paloma Martínez; Adrian Carruana; Ali Naderi; Conchi Polo (TAC, 2017)

Exploring convolutional neural networks for drug-drug interaction extraction. - Víctor Suárez-Paniagua; Isabel Segura-Bedmar; Paloma Martínez (Database J. Biol. Databases Curation, 2017)

Simplifying drug package leaflets written in Spanish by using word embedding. - Isabel Segura-Bedmar; Paloma Martínez (J. Biomed. Semant., 2017)

UC3M-NII Team at SemEval-2018 Task 7: Semantic Relation Classification in Scientific Papers via Convolutional Neural Network. - Víctor Suárez-Paniagua; Isabel Segura-Bedmar; Akiko Aizawa (SemEval@NAACL-HLT, 2018)

LABDA's Early Steps Toward Multimodal Stance Detection. - Isabel Segura-Bedmar (IberEval@SEPLN, 2018)

LABDA at TASS-2018 Task 3: Convolutional Neural Networks for Relation Classification in Spanish eHealth documents. - Víctor Suárez-Paniagua; Isabel Segura-Bedmar; Paloma Martínez (TASS@SEPLN, 2018)

A Hybrid Bi-LSTM-CRF Model to Recognition of Disabilities from Biomedical Texts. - Renzo M. Rivera Zavala; Paloma Martínez; Isabel Segura-Bedmar (IberEval@SEPLN, 2018)

A Hybrid Bi-LSTM-CRF model for Knowledge Recognition from eHealth documents. - Renzo M. Rivera Zavala; Paloma Martínez; Isabel Segura-Bedmar (TASS@SEPLN, 2018)

Evaluation of pooling operations in convolutional architectures for drug-drug interaction extraction. - Víctor Suárez-Paniagua; Isabel Segura-Bedmar (BMC Bioinform., 2018)

Predicting of anaphylaxis in big data EMR by exploring machine learning approaches. - Isabel Segura-Bedmar; Cristóbal Colón-Ruiz; Miguél Ángel Tejedor-Alonso; Mar Moro-Moro (J. Biomed. Informatics, 2018)

Early Risk Prediction by means of DeepLearning. - Pablo Ráez García Retamero; Isabel Segura-Bedmar (CLEF (Working Notes), 2019)

Lexical simplification approach to support the accessibility guidelines. - Lourdes Moreno 001; Rodrigo Alarcón; Isabel Segura-Bedmar; Paloma Martínez (Interacción, 2019)

Hulat-TaskAB at eHealth-KD Challenge 2019: Knowledge Recognition from Health Documents by BiLSTM-CRF. - Cristóbal Colón-Ruiz; Isabel Segura-Bedmar (IberLEF@SEPLN, 2019)

Protected Health Information Recognition by BiLSTM-CRF. - Cristóbal Colón-Ruiz; Isabel Segura-Bedmar (IberLEF@SEPLN, 2019)

Cohort selection for clinical trials using deep learning models. - Isabel Segura-Bedmar; Pablo Raez (J. Am. Medical Informatics Assoc., 2019)

A two-stage deep learning approach for extracting entities and relationships from medical texts. - Víctor Suárez-Paniagua; Renzo M. Rivera Zavala; Isabel Segura-Bedmar; Paloma Martínez (J. Biomed. Informatics, 2019)

Lexical simplification approach using easy-to-read resources. - Rodrigo Alarcón; Lourdes Moreno 001; Isabel Segura-Bedmar; Paloma Martínez (Proces. del Leng. Natural, 2019)

Análisis de sentimiento en el dominio salud: analizando comentarios sobre fármacos. - Cristóbal Colón-Ruiz; Isabel Segura-Bedmar; Paloma Martínez (Proces. del Leng. Natural, 2019)

Exploring Deep Learning for Named Entity Recognition of Tumor Morphology Mentions. - Gema de Vargas Romero; Isabel Segura-Bedmar (IberLEF@SEPLN, 2020)

Comparing deep learning architectures for sentiment analysis on drug reviews. - Cristóbal Colón-Ruiz; Isabel Segura-Bedmar (J. Biomed. Informatics, 2020)

One stage versus two stages deep learning approaches for the extraction of drug-drug interactions from texts. - Antonio Miranda-Escalada; Isabel Segura-Bedmar (Proces. del Leng. Natural, 2020)

Extracting information from radiology reports by Natural Language Processing and Deep Learning. - Miguel Ángel Martín-Caro García-Largo; Isabel Segura-Bedmar (CLEF (Working Notes), 2021)

Detecting Offensiveness in Social Network Comments. - Marta Navarrón García; Isabel Segura-Bedmar (IberLEF@SEPLN, 2021)

Exploring the Impact of COVID-19 on Social Life by Deep Learning. - Jose Antonio Jijon-Vorbeck; Isabel Segura-Bedmar (Inf., 2021)

Sarcasm Detection with BERT. - Elsa Scola; Isabel Segura-Bedmar (Proces. del Leng. Natural, 2021)

Evaluación de un modelo transformador aplicado a la tarea de generación de resúmenes en distintos dominios. - Isabel Segura-Bedmar; Lucía Ruz; Sara Guerrero-Aspizua (Proces. del Leng. Natural, 2021)

UC3M at PAR-MEX@IberLef 2022: From Cosine Distance to Transformer Models for Paraphrase Identification in Mexican Spanish. - Angela Brando-Le-Bihan; Roman Karbushev; Isabel Segura-Bedmar (IberLEF@SEPLN, 2022)

Transformers Approach for Sentiment Analysis: Classification of Mexican Tourists Reviews from TripAdvisor. - Mario Pérez Enríquez; Javier Alonso Mencía; Isabel Segura-Bedmar (IberLEF@SEPLN, 2022)

UC3MDeep at PoliticEs 2022: Exploring Traditional Machine Learning Algorithms for Political Ideology Detection. - Álvaro García-Ochoa Martín-Forero; Alejandro Massotti López; Isabel Segura-Bedmar (IberLEF@SEPLN, 2022)

Recommendation System Rest-Mex 2022 for Mexican Tourism Using Natural Language Processing. - Santiago Veigas Ramírez; Daniel Martínez Davies; Isabel Segura-Bedmar (IberLEF@SEPLN, 2022)

Exploring deep learning methods for recognizing rare diseases and their clinical manifestations from texts. - Isabel Segura-Bedmar; David Camino-Perdonas; Sara Guerrero-Aspizua (BMC Bioinform., 2022)

Multimodal Fake News Detection. - Isabel Segura-Bedmar; Santiago Alonso-Bartolome (Inf., 2022)

The RareDis corpus: A corpus annotated with rare diseases, their signs and symptoms. - Claudia Martínez-de Miguel; Isabel Segura-Bedmar; Esteban Chacón-Solano; Sara Guerrero-Aspizua (J. Biomed. Informatics, 2022)

HULAT at SemEval-2023 Task 9: Data Augmentation for Pre-trained Transformers Applied to Multilingual Tweet Intimacy Analysis. - Isabel Segura-Bedmar (SemEval@ACL, 2023)

HULAT at SemEval-2023 Task 10: Data Augmentation for Pre-trained Transformers Applied to the Detection of Sexism in Social Media. - Isabel Segura-Bedmar (SemEval@ACL, 2023)

In Unity, There Is Strength: On Weighted Voting Ensembles for Hurtful Humour Detection. - Javier Cruz; Lucas Elvira; Miguel Tabernero; Isabel Segura-Bedmar (IberLEF@SEPLN, 2023)

UC3M at Da-Vincis-2023: using BETO for Detection of Aggressive and Violent Incidents on Social Networks. - Jorge Luis Saavedra Rubio; Alejandro Valbuena Almeida; Isabel Segura-Bedmar (IberLEF@SEPLN, 2023)

UC3M at PoliticEs 2023: Applying The Basics. - Brandon Solo; Martha María Del Toro Carballo; Manuel Santiago Fernández-Arias; Isabel Segura-Bedmar (IberLEF@SEPLN, 2023)

A Framework for Identifying Depression on Social Media: MentalRiskES@IberLEF 2023. - Simon Sanchez Viloria; Daniel Peix del Río; Rubén Bermúdez Cabo; Guillermo Arturo Arrojo Fuentes; Isabel Segura-Bedmar (IberLEF@SEPLN, 2023)

Ajuste y evaluacíon del modelo DialoGPT sobre distintas colecciones de subtítulos de películas y series de televisión. - Raúl Giménez de Dios; Isabel Segura-Bedmar (Proces. del Leng. Natural, 2023)

APB-UC3M at eRisk 2024: Natural Language Processing and Deep Learning for the Early Detection of Mental Disorders. - Alejandro Pardo Bascuñana; Isabel Segura-Bedmar (CLEF (Working Notes), 2024)

Human After All: Using Transformer Based Models to Identify Automatically Generated Text. - Jorge Fernández García; Isabel Segura-Bedmar (IberLEF@SEPLN, 2024)

A Transformer and Data Augmentation-based Approach for Propaganda Identification and Classification. - Paula Sanchez-Checa; Lucía Gallego-Torres; Marco Antonio Sanchez-Escudero; Cosmin Petre; Isabel Segura-Bedmar (IberLEF@SEPLN, 2024)

AI-generated Text Detection with a GLTR-based Approach. - Lucía Yan Wu; Isabel Segura-Bedmar (CoRR, 2025)