sample of publications

• articles 

  • Fine-tuning and evaluation of DialoGPT on several datasets of English movies and TV series subtitles.  Procesamiento del Lenguaje Natural.  2023
  • Exploring deep learning methods for recognizing rare diseases and their clinical manifestations from texts.  BMC BIOINFORMATICS.  23:1-23. 2022
  • Multimodal Fake News Detection.  Information (Switzerland).  13:1-16. 2022
  • The RareDis corpus: A corpus annotated with rare diseases, their signs and symptoms.  JOURNAL OF BIOMEDICAL INFORMATICS.  125:1-12. 2022
  • Exploring the impact of covid-19 on social life by deep learning.  Information (Switzerland).  12:1-16. 2021
  • Sarcasm detection with BERT.  Procesamiento del Lenguaje Natural.  13-25. 2021
  • Evaluación de un modelo transformador aplicado a la tarea de generación de resúmenes en distintos dominios = Evaluation of a transformer model applied to the task of text summarization in different domains.  Procesamiento del Lenguaje Natural.  66:27-39. 2021
  • Comparing deep learning architectures for sentiment analysis on drug reviews.  JOURNAL OF BIOMEDICAL INFORMATICS.  110:1-11. 2020
  • One stage versus two stages deep learning approaches for the extraction of drug-drug interactions from texts = Comparando enfoques deep learning en una fase y en dos fases para extraer interacciones farmacológicas de texto.  Procesamiento del Lenguaje Natural.  69-76. 2020
  • A two-stage deep learning approach for extracting entities and relationships from medical texts.  JOURNAL OF BIOMEDICAL INFORMATICS.  99:103285-1-103285-12. 2019
  • Cohort selection for clinical trials using deep learning models.  JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION.  26:1181-1188. 2019
  • Predicting of anaphylaxis in big data EMR by exploring machine learning approaches.  JOURNAL OF BIOMEDICAL INFORMATICS.  87:50-59. 2018
  • Evaluation of pooling operations in convolutional architectures for drug-drug interaction extraction.  BMC BIOINFORMATICS.  19. 2018
  • Simplifying drug package leaflets written in Spanish by using word embedding.  Journal of Biomedical Semantics.  8. 2017
  • Exploring convolutional neural networks for drug-drug interaction extraction.  Database-The Journal of Biological Databases and Curation.  2017
  • Conceptual models of drug-drug interactions: A summary of recent efforts.  KNOWLEDGE-BASED SYSTEMS.  114:99-107. 2016
  • EasyLecto: Un sistema de simplificación léxica de efectos adversos presentes en prospectos de fármacos en español.  Procesamiento del Lenguaje Natural.  177-180. 2016
  • Turning user generated health-related content into actionable knowledge through text analytics services.  COMPUTERS IN INDUSTRY.  78:43-56. 2016
  • Pharmacovigilance through the Development of Text Mining and Natural Language Processing Techniques.  JOURNAL OF BIOMEDICAL INFORMATICS.  58:288-291. 2015
  • DINTO: Using OWL ontologies and SWRL rules to infer drug-drug interactions and their mechanisms.  Journal of Chemical Information and Modeling.  55:1698-1707. 2015
  • Application of Domain Ontologies to Natural Language Processing: A Case Study for Drug-Drug Interactions.  International Journal of Information Retrieval Research.  5:19-38. 2015
  • Exploring Spanish Health Social Media for detecting drug effects.  BMC Medical Informatics and Decision Making.  15. 2015
  • Lessons learnt from the DDIExtraction-2013 Shared Task.  JOURNAL OF BIOMEDICAL INFORMATICS.  51:152-164. 2014
  • TrendMiner: Large-scale cross-lingual trend mining summarization of real-time media streams.  Procesamiento del Lenguaje Natural.  53:163-166. 2014
  • Special Issue on Mining the Pharmacovigilance Literature.  JOURNAL OF BIOMEDICAL INFORMATICS.  49:1-2. 2014
  • The DDI corpus: An annotated corpus with pharmacological substances and drug-drug interactions.  JOURNAL OF BIOMEDICAL INFORMATICS.  46:914-920. 2013
  • Lightly supervised acquisition of named entities and linguistic patterns for multilingual text mining.  KNOWLEDGE AND INFORMATION SYSTEMS.  35:87-109. 2013
  • Prototipo buscador de información médica en corpus multilingües y extractor de información sobre fármacos = Medical information search and information extraction about drugs prototype on a multilingual corpus.  Procesamiento del Lenguaje Natural.  49:209-212. 2012
  • Using a shallow linguistic kernel for drug-drug interaction extraction.  JOURNAL OF BIOMEDICAL INFORMATICS.  44:789-804. 2011
  • A comparison of machine learning techniques for detection of drug target articles.  JOURNAL OF BIOMEDICAL INFORMATICS.  43:902-913. 2010
  • Extracting Drug-Drug Interactions from Biomedical Texts.  BMC BIOINFORMATICS.  11. 2010
  • Resolving Anaphoras for the Extraction of Drug-Drug Interactions in Pharmacological Documents.  BMC BIOINFORMATICS.  11. 2010
  • Drug Name Recognition and Classification in Biomedical Texts: A Case Study Outlining Approaches Underpinning Automated Systems.  DRUG DISCOVERY TODAY.  13:816-823. 2008
  • Detección de fármacos genéricos en textos biomédicos = Detecting Generic Drugs in Biomedical Texts.  Procesamiento del Lenguaje Natural.  27-34. 2008

• books 

  • Desarrollo de Bases de Datos: Casos Prácticos Desde el Análisis a la Implementación.  MADRID: RA-MA, S.A. EDITORIAL Y PUBLICACIONES. 2013
  • Proceedings of the 1st Challenge Task on Drug-Drug Interaction Extraction 2011. Huelva, Spain, September 7, 2011..  Ed. 761.  2011
  • A friendly notebook on Data Structures and Algorithms.  COPY RED, S.A.. 2011
  • Manual de ejercicios. Estructura de datos y algoritmos.  COPY RED, S.A.. 2011
  • Application of information extraction techniques to pharmalogical domain: extracting drug-drug interaction.  Ed. 10.  Sociedad Española para el Procesamiento del Lenguaje Natural. 2011

• conference contributions 

  • Development of an annotated corpus of rare diseases to promote an accurate diagnosis.  70-70. 2021
  • Extracting information from radiology reports by Natural Language Processing and Deep Learning.  804-817. 2021
  • Early Risk Prediction by means of DeepLearning.  1-13. 2019
  • Hulat-TaskAB at eHealth-KD Challenge 2019, Knowledge Recognition from Health Documents by BiLSTM-CRF.  35-42. 2019
  • Lexical simplification approach to support the accessibility guidelines.  1-4. 2019
  • Protected Health Information Recognition by BiLSTM-CRF.  679-686. 2019
  • A Hybrid Bi-LSTM-CRF Model to Recognition of Disabilities from Biomedical Texts..  44-52. 2018
  • A Hybrid Bi-LSTM-CRF model for Knowledge Recognition from eHealth documents.  65-70. 2018
  • LABDA at TASS-2018 Task 3: Convolutional Neural Networks for Relation Classification in Spanish eHealth documents.  71-76. 2018
  • LABDA's Early Steps Toward Multimodal Stance Detection.  180-186. 2018
  • UC3M-NII Team at SemEval-2018 Task 7: Semantic Relation Classification in Scientific Papers via Convolutional Neural Network.  793-793. 2018
  • Exploring convolutional neural networks for sentiment analysis of spanish tweets.  1014-1022. 2017
  • LABDA at SemEval-2017 Task 10: Extracting keyphrases from scientific publications by combining the BANNER tool and the UMLS Semantic Network.  947-950. 2017
  • LABDA at SemEval-2017 Task 10: relation classification between keyphrases via convolutional neural network.  969-972. 2017
  • MC-UC3M Participation at TAC 2017 Adverse Drug
    Reaction Extraction from Drug Labels 2017
  • Extraction of Drug-Drug Interactions by Recursive Matrix-Vector Spaces.  65-72. 2016
  • LABDA at the 2016 BioASQ challenge task 4a: Semantic Indexing by using ElasticSearch.  16-22. 2016
  • LABDA at the 2016 TASS challenge task: using word embeddings for the sentiment analysis task.  29-33. 2016
  • Simplifying Drug Package Leaflets.  20-28. 2016
  • Using Recursive Neural Networks to Detect and Classify Drug-Drug Interactions from Biomedical Texts.  1666-1667. 2016
  • Combining Conditional Random Fields and Word Embeddings for the CHEMDNER-patents task.  90-93. 2015
  • Exploring Word Embedding for Drug Name Recognition.  64-72. 2015
  • Exploring language technologies to provide support to WCAG 2.0 and E2R guidelines 2015
  • Word Embedding clustering for Disease Named Entity Recognition.  299-304. 2015
  • ADRSpanishTool: Una herramienta para la detección de efectos adversos e indicaciones = ADRSpanishTool: A tool for extracting adverse drug reactions and indications.  177-180. 2014
  • Detecting drugs and adverse events from Spanish social media streams.  106-115. 2014
  • Extracting drug indications and adverse drug reactions from Spanish health social media.  98-106. 2014
  • Women in computer science: Survey on the perception of the women's participation in STEM studies.  1-2. 2014
  • A web prototype for detecting chemical compounds and drugs 2013
  • An Ontology for formal representation of Drug Drug Interaction Knowledge 2013
  • An ontology for drug-drug interactions 2013
  • Annotation Issues in Pharmacological Texts.  211-219. 2013
  • Combining Dictionaries and Ontologies for Drug Name Recognition in Biomedical Texts.  27-30. 2013
  • Corpus DDI: Un corpus anotado con fármacos e interacciones farmacológicas 2013
  • Extraction of Drug-Drug Interactions from Biomedical Texts.  341-350. 2013
  • Recognizing Chemical Compounds and Drugs: a Rule-Based Approach Using Semantic Information.  121-128. 2013
  • A linguistic rule-based approach to extract drug-drug interactions from pharmacological documents.  1471-2105. 2011
  • DDIExtractor: A Web-based Java Tool for Extracting Drug-Drug Interactions from Biomedical Texts.  274-277. 2011
  • The 1st DDIExtraction-2011 Challenge Task: Extraction of Drug-Drug Interactions from Biomedical Texts.  1-9. 2011
  • Combining Syntactic Information and Domain-Specific Lexical Patterns to Extract Drug-Drug Interactions from Biomedical Texts 2010
  • A Preliminary Approach to Rcognize Generic Drug Names by Combining UMLS Resources and USAN Naming Conventions.  100-101. 2008

• theses 

  • Application of information extraction techniques to pharmacological domain. Extracting Drug-Drug Interaction