| Semeval-2013 task 9: Extraction of drug-drug interactions from biomedical texts (ddiextraction 2013) I Segura-Bedmar, P Martínez, M Herrero-Zazo Second Joint Conference on Lexical and Computational Semantics (* SEM …, 2013 | 525 | 2013 |
| The DDI corpus: An annotated corpus with pharmacological substances and drug–drug interactions M Herrero-Zazo, I Segura-Bedmar, P Martínez, T Declerck Journal of biomedical informatics 46 (5), 914-920, 2013 | 455 | 2013 |
| The CHEMDNER corpus of chemicals and drugs and its annotation principles M Krallinger, O Rabal, F Leitner, M Vazquez, D Salgado, Z Lu, R Leaman, ... Journal of cheminformatics 7, 1-17, 2015 | 365 | 2015 |
| Using a shallow linguistic kernel for drug–drug interaction extraction I Segura-Bedmar, P Martinez, C de Pablo-Sánchez Journal of biomedical informatics 44 (5), 789-804, 2011 | 188 | 2011 |
| Comparing deep learning architectures for sentiment analysis on drug reviews C Colón-Ruiz, I Segura-Bedmar Journal of Biomedical Informatics 110, 103539, 2020 | 161 | 2020 |
| The 1st DDIExtraction-2011 challenge task: Extraction of Drug-Drug Interactions from biomedical texts I Segura-Bedmar, P Martinez, D Sánchez-Cisneros Proceedings of the 1st challenge task on drug-drug interaction extraction …, 2011 | 146 | 2011 |
| Lessons learnt from the DDIExtraction-2013 shared task I Segura-Bedmar, P Martínez, M Herrero-Zazo Journal of biomedical informatics 51, 152-164, 2014 | 113 | 2014 |
| Evaluation of pooling operations in convolutional architectures for drug-drug interaction extraction V Suárez-Paniagua, I Segura-Bedmar BMC bioinformatics 19, 39-47, 2018 | 104 | 2018 |
| A linguistic rule-based approach to extract drug-drug interactions from pharmacological documents I Segura-Bedmar, P Martínez, C de Pablo-Sánchez BMC bioinformatics 12, 1-11, 2011 | 104 | 2011 |
| Resolving anaphoras for the extraction of drug-drug interactions in pharmacological documents I Segura-Bedmar, M Crespo, C de Pablo-Sánchez, P Martínez BMC bioinformatics 11, 1-9, 2010 | 97 | 2010 |
| Drug name recognition and classification in biomedical texts: a case study outlining approaches underpinning automated systems I Segura-Bedmar, P Martínez, M Segura-Bedmar Drug discovery today 13 (17-18), 816-823, 2008 | 86 | 2008 |
| Exploring Spanish health social media for detecting drug effects I Segura-Bedmar, P Martínez, R Revert, J Moreno-Schneider BMC medical informatics and decision making 15, 1-9, 2015 | 73 | 2015 |
| Turning user generated health-related content into actionable knowledge through text analytics services P Martínez, JL Martínez, I Segura-Bedmar, J Moreno-Schneider, A Luna, ... Computers in Industry 78, 43-56, 2016 | 70 | 2016 |
| DINTO: using OWL ontologies and SWRL rules to infer drug–drug interactions and their mechanisms M Herrero-Zazo, I Segura-Bedmar, J Hastings, P Martinez Journal of chemical information and modeling 55 (8), 1698-1707, 2015 | 62 | 2015 |
| A two-stage deep learning approach for extracting entities and relationships from medical texts V Suárez-Paniagua, RMR Zavala, I Segura-Bedmar, P Martínez Journal of biomedical informatics 99, 103285, 2019 | 60 | 2019 |
| Detecting drugs and adverse events from Spanish social media streams I Segura-Bedmar, R Revert, P Martínez Proceedings of the 5th international workshop on health text mining and …, 2014 | 60 | 2014 |
| Multimodal fake news detection I Segura-Bedmar, S Alonso-Bartolome Information 13 (6), 284, 2022 | 59 | 2022 |
| Exploring word embedding for drug name recognition I Segura-Bedmar, V Suárez-Paniagua, P Martínez Proceedings of the sixth international workshop on health text mining and …, 2015 | 55 | 2015 |
| Predicting of anaphylaxis in big data EMR by exploring machine learning approaches I Segura-Bedmar, C Colón-Ruíz, MÁ Tejedor-Alonso, M Moro-Moro Journal of biomedical informatics 87, 50-59, 2018 | 53 | 2018 |
| Pharmacovigilance through the development of text mining and natural language processing techniques I Segura-Bedmar, P Martínez Journal of biomedical informatics 58, 288-291, 2015 | 40 | 2015 |
