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Isabel Segura Bedmar (Publicaciones)

2017

Revistas

  • Isabel Segura Bedmar, Paloma Martínez Fernández. (2017). Simplifying drug package leaflets writtenin Spanish by using word embedding. Journal of Biomedical Semantics (IF: 1.845; Q2). 8, (45). 2017, Octubre. 10.1186/s13326-017-0156-7.

  • Victor Suarez Paniagua, Isabel Segura Bedmar, Paloma Martínez Fernández. (2017). Exploring Convolutional Neural Networks for Drug-Drug Interaction Extraction. Database The Journal of Biological Databases and Curation. Volume 2017, (1). 1758-0463. 2017, Enero. URL del artículo

Congresos

  • Leonardo Campillos Llanos, Paloma Martínez Fernández, Isabel Segura Bedmar. (2017). A preliminary analysis of negation in a Spanish clinical records dataset. Taller de NEGación en ESpañol (NEGES 2017). Murcia, Spain. 2017, Septiembre. 33-38. URL del artículo

  • Victor Suarez Paniagua, Isabel Segura Bedmar, Paloma Martínez Fernández. (2017). LABDA at SemEval-2017 Task 10: Relation Classification between keyphrases via Convolutional Neural Network. Proceedings of the 11th International Workshop on Semantic Evaluations (SemEval). Vancouver, Canada. 2017, Agosto. Association for Computational Linguistics, 938-941. URL del artículo

  • Isabel Segura Bedmar, Cristóbal Colón Ruiz, Paloma Martínez Fernández. (2017). LABDA at SemEval-2017 Task 10: Extracting Keyphrases from Scientific Publications by combining the BANNER tool and the UMLS Semantic Network. Proceedings of the 11th International Workshop on Semantic Evaluations (SemEval). Vancouver, Canada. 2017, Agosto. 938-941. URL del artículo

  • Cristóbal Colón Ruiz, Isabel Segura Bedmar, Paloma Martínez Fernández. (2017). Combining the BANNER tool with the DINTO ontology for the CEMP task of BioCreative V.5. BioCreative. Barcelona, España. 2017, Abril. Proceedings of the BioCreative V.5 Challenge Evaluation Workshop. 104 - 107. URL del artículo

  • Isabel Segura Bedmar, Antonio Quiros Sandoval, Paloma Martínez Fernández. (2017). Exploring Convolutional Neural Networks for Sentiment Analysis of Spanish tweets. Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics:. Valencia, Spain. 2017, Abril. Association for Computational Linguistics. Volume 1, Long Papers, 1014-1022. URL del artículo

    (Core A)

  • Cristóbal Colón Ruiz, Isabel Segura Bedmar, Paloma Martínez Fernández. (2017). Combining the BANNER tool with the DINTO ontology for the CEMP task of BioCreative V.5.. Proceedings of the BioCreative V.5 Challenge Evaluation Workshop. Barcelona, España. 2017, Abril. 104-107. URL del artículo

2016

Revistas

  • María Herrero Zazo, Isabel Segura Bedmar, Paloma Martínez Fernández. (2016). Conceptual Models of Drug-Drug Interactions: A Summary of Recent Efforts. Knowledge-Based Systems, JCR Science, Impact Factor (2015): 3.325, Q1. 114, 99-107. Elsevier, 0950-7051. 2016, Diciembre. URL del artículo

  • Paloma Martínez Fernández, José Luis Martínez Fernández, Isabel Segura Bedmar, Julián Moreno Schneider, Ricardo Revert Arenaz, Adrián Luna. (2016). Turning user generated health-related content into actionable knowledge through text analytics services. Computers in Industry, JCR Impact Factor (2015): 1,685, Q2. 78, (doi:10.1016/j.compind.2015.10.006), 43-56. 2016, Mayo. URL del artículo

Congresos

  • Isabel Segura Bedmar, Paloma Martínez Fernández. (2016). EasyLecto: Un sistema de simplificación léxica de efectos adversos presentes en prospectos de fármacos en español.. Revista Procesamiento del Lenguaje Natural. 2016, Septiembre. 57, 177-180. URL del artículo

  • Antonio Quiros Sandoval, Isabel Segura Bedmar, Paloma Martínez Fernández. (2016). LABDA at the 2016 TASS challenge task: using word embeddings for the sentiment analysis task. 5th Evaluation Workshop for Sentiment Analysis focused on Spanish. TASS 2016. 2016, Septiembre. URL del artículo

  • Victor Suarez Paniagua, Isabel Segura Bedmar. (2016). Extraction of Drug-Drug Interactions by Recursive Matrix-Vector Spaces. 6th International Workshop on Combinations of Intelligent Methods and Applications. The Hague, Holland. 2016, Agosto. URL del artículo

  • Isabel Segura Bedmar, Adrián Carruana Martín, Paloma Martínez Fernández. (2016). LABDA at the 2016 BioASQ challenge task 4a: Semantic Indexing by using ElasticSearch. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics. Berlin, Germany. 2016, Agosto. Association for Computational Linguistics. 16-22. URL del artículo

  • Isabel Segura Bedmar, Paloma Martínez Fernández. (2016). Simplifying Drug Package Leaflets. Proceedings of the 7th International Symposium on Semantic Mining in Biomedicine. Postdam, Germany. 2016, Agosto. CEUR Proceedings Vol 1650. 20-28. URL del artículo

  • Victor Suarez Paniagua, Isabel Segura Bedmar. (2016). Using Recursive Neural Networks to detect and classify drug-drug interactions from biomedical texts. 22nd European Conference on Artificial Intelligence (ECAI 2016). The Hague, Holland. 2016, Agosto. URL del artículo

2015

Revistas

  • Isabel Segura Bedmar, Paloma Martínez Fernández. (2015). Pharmacovigilance through the Development of Text Mining and Natural Language Processing Techniques. Journal of Biomedical Informatics (JCR Science, Impact Factor (2014): 2,194, Area: Computer Science, Interdisciplinary Applications, Rank: 21/102, Q1),. 58, 288-291. Elsevier. 2015, Diciembre. URL del artículo

  • Isabel Segura Bedmar, Paloma Martínez Fernández, Ricardo Revert Arenaz, Julián Moreno Schneider. (2015). Exploring Spanish Health Social Media for detecting drug effects. BMC Medical Informatics and Decision Making, JCR Impact Factor (2015): 2.042, Q2. 15, (Supplement S2), doi:10.1186/1472-6947-15-S2-S6. 2015, Junio. URL del artículo

  • María Herrero Zazo, Isabel Segura Bedmar, Janna Hastings, Paloma Martínez Fernández. (2015). Application of Domain Ontologies to Natural Language Processing: A Case Study for Drug-Drug Interactions. International Journal of Information Retrieval Research (IJIRR). 5, (3). 2015, Junio. URL del artículo

  • María Herrero Zazo, Isabel Segura Bedmar, Janna Hastings, Paloma Martínez Fernández. (2015). DINTO: Using OWL ontologies and SWRL rules to infer drug-drug interactions and their mechanisms (DOI: 10.1021/acs.jcim.5b00119). Journal of Chemical Information and Modeling (JCR Science, Impact Factor (2014): 3,738, Area: Computer Science, Information Systems, Rank: 7/139, Q1). ACS. 2015, Junio. URL del artículo

Congresos

  • Isabel Segura Bedmar, Victor Suarez Paniagua, Paloma Martínez Fernández. (2015). Combining Conditional Random Fields and Word Embeddings for the CHEMDNER-patents task. Proceedings of the Fifth BioCreative Challenge Evaluation Workshop (BIOCREATIVE V). Sevilla. 2015, Septiembre. URL del artículo

  • Lourdes Moreno, Paloma Martínez Fernández, Isabel Segura Bedmar, Ricardo Revert Arenaz. (2015). Exploring language technologies to provide support to WCAG 2.0 and E2R guidelines. Proceedings of the XVI International Conference on Human Computer Interaction (Interacción '15). 2015, Septiembre. ACM. (Article 57), 8 pages. http://dx.doi.org/10.1145/2829875.2829927. URL del artículo

  • Victor Suarez Paniagua, Isabel Segura Bedmar, Paloma Martínez Fernández. (2015). Word Embedding clustering for Disease Named Entity Recognition. Proceedings of the Fifth BioCreative Challenge Evaluation Workshop (BIOCREATIVE V),. Sevilla, Spain. 2015, Septiembre. URL del artículo

  • Isabel Segura Bedmar, Victor Suarez Paniagua, Paloma Martínez Fernández. (2015). Exploring Word Embedding for Drug Name Recognition. Sixth Workshop on Health Text Mining and Information Analysis. Lisboa, Portugal. 2015, Septiembre. URL del artículo

2014

Revistas

  • Paloma Martínez Fernández, Isabel Segura Bedmar, Thierry Declerck, José Luis Martínez Fernández. (2014). TrendMiner: Large-scale Cross-lingual Trend Mining Summarization of Realtime Media Streams. Procesamiento del Lenguaje Natural. 53, 163-166. 2014, Septiembre. URL del artículo

  • Santiago Peña González, Isabel Segura Bedmar, Paloma Martínez Fernández, José Luis Martínez Fernández. (2014). ADRSpanishTool: a tool for extracting adverse drug reactions and indications. Procesamiento del Lenguaje Natural. 53, 177-180. 2014, Septiembre. URL del artículo

  • Isabel Segura Bedmar, Paloma Martínez Fernández. (2014). Special Issue on Mining the Pharmacovigilance Literature. Journal of Biomedical Informatics (JCR Science, Impact Factor (2014): 2,194, Area: Computer Science, Interdisciplinary Applications, Rank: 21/102, Q1). 49, 1-2. 2014, Junio. 10.1016/j.jbi.2014.04.007.

Congresos

  • Lourdes Moreno, Yolanda González Maroto, Isabel Segura Bedmar, Paloma Martínez Fernández. (2014). Women in computer science: Survey on the perception of the women's participation in STEM studies. INTERACCION 2014. XV International Conference on Human Computer Interaction. Puerto de la Cruz, Tenerife, Spain. 2014, Septiembre. ACM New York, 978-1-4503-28. (82). URL del artículo

  • Isabel Segura Bedmar, Santiago Peña González, Paloma Martínez Fernández. (2014). Extracting drug indications and adverse drug reactions from Spanish health social media. Proceedings of the BioNLP 2014 workshop. USA. 2014, Junio. Association for Computational Linguistics. 98-106. URL del artículo

  • Isabel Segura Bedmar, Ricardo Revert Arenaz, Paloma Martínez Fernández. (2014). Detecting drugs and adverse events from Spanish social media streams. Proceedings of the 5th International Workshop on Health Text Mining and Information Analysis (Louhi). Gothenburg, Sweden. 2014, Abril. Association for Computational Linguistics. 106-115. URL del artículo