Isabel Segura Bedmar (Publicaciones)

2020

Revistas

  • Cristóbal Colón Ruiz, Isabel Segura Bedmar. (2020). Comparing deep learning architectures for sentiment analysis on drug reviews. Journal of Biomedical Informatics. 110, (October 2020). Elsevier, 1532-0464. 2020, Octubre. https://doi.org/10.1016/j.jbi.2020.103539. [3.526]. Link a la publicación

    This repository contains the notebooks to reproduce the experiments of this study: 

    https://github.com/ccolonruiz/DrugSentimentAnalysis

Congresos

  • Gema de Vargas Romero, Isabel Segura Bedmar. (2020). Exploring Deep Learning for Named Entity Recognition of Tumor Morphology Mentions. Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2020). Spain. 2020, Septiembre. CEUR-WS. 2664, 396-411. Link a la publicación

    This repository contains the notebooks to reproduce our experiments

  • Antonio Miranda-Escalada, Isabel Segura Bedmar. (2020). One stage versus two stages deep learning approaches for the extraction of drug-drug interactions from texts. Procesamiento del Lenguaje Natural. 2020, Abril. 1989-7553. 64, 69-76. Link a la publicación

2019

Revistas

  • Victor Suarez Paniagua, Renzo Mauricio Rivera Zavala, Isabel Segura Bedmar, Paloma Martínez Fernández. (2019). A two-stage deep learning approach for extracting entities and relationships from medical texts. Journal of Biomedical Informatics. 99. Elsevier, 1532-0480. 2019, Noviembre. https://doi.org/10.1016/j.jbi.2019.103285. [Computer Science, Interdisciplinary Applications, 2.95, Q2].

  • Isabel Segura Bedmar, Pablo Raez. (2019). Cohort selection for clinical trials using deep learning models. Journal of the American Medical Informatics Association. 26, (11), 1181–1188. Oxford Academic, 1527-974X. 2019, Septiembre. https://doi.org/10.1093/jamia/ocz139. [Computer Science, Interdisciplinary Applications, 3.428, Q1].

  • Rodrigo Alarcón, Lourdes Moreno, Isabel Segura Bedmar, Paloma Martínez Fernández. (2019). Lexical simplification approach using easy-to-read resources. Procesamiento del Lenguaje Natural. 63, 95-102. Sociedad Española para el Procesamiento del Lenguaje Natural, 1989-7553. 2019, Septiembre. [SCImago Journal Rankings (SJR), Computer Science Applications, 0,270, 3]. [URL del artículo]

  • Cristóbal Colón Ruiz, Isabel Segura Bedmar, Paloma Martínez Fernández. (2019). Análisis de sentimiento en el dominio salud: analizando comentarios sobre fármacos. Procesamiento del Lenguaje Natural, SEPLN 2019. 63, 15 - 22. ISSN: 1135-5948. 2019, Septiembre. [SCOPUS, Computer Science Applications, 0,235, Q3]. URL del artículo

Congresos

  • Pablo Raez, Isabel Segura Bedmar. (2019). Early Risk Prediction by means of DeepLearning. CLEF (Working Notes) 2019. Thessaloniki, Grecia. 2019, Septiembre. 1-13.

  • Cristóbal Colón Ruiz, Isabel Segura Bedmar. (2019). Hulat-TaskAB at eHealth-KD Challenge 2019: Knowledge Recognition from Health Documents by BiLSTM-CRF. Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2019). Bilbao, Spain. 2019, Septiembre. CEUR, ISSN 1613-0073. 2421, 35 - 42. URL del artículo

  • Cristóbal Colón Ruiz, Isabel Segura Bedmar. (2019). Protected Health Information Recognition by BiLSTM-CRF. Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2019). Bilbao, Spain. 2019, Septiembre. CEUR, ISSN 1613-0073. 2421, 679 - 686. URL del artículo

  • Lourdes Moreno, Rodrigo Alarcón, Isabel Segura Bedmar, Paloma Martínez Fernández. (2019). Lexical simplification approach to support the accessibility guidelines. Proceedings of the XX International Conference on Human Computer Interaction, Interacción 2019. Donostia, Gipuzkoa, Spain. 2019, Junio. ACM, 978-1-4503-7176-6. 14:1-14:4. 10.1145/3335595.3335651. URL del artículo

2018

Revistas

  • Isabel Segura Bedmar, Cristóbal Colón Ruiz, Miguel A. Tejedor-Alonso, Mar Moro-Moro. (2018). Predicting of anaphylaxis in big data EMR by exploring machine learning approaches. Journal of Biomedical Informatics. 87, 50-59. Elsevier. 2018, Noviembre. https://doi.org/10.1016/j.jbi.2018.09.012. [Computer Science, Interdisciplinary Applications, 2.95, Q2].

Congresos

  • Victor Suarez Paniagua, Isabel Segura Bedmar, Paloma Martínez Fernández. (2018). Labda at tass-2018 task 3: Convolutional neural networks for relation classification in spanish ehealth documents. TASS 2018. Sevilla, Spain. 2018, Septiembre. 71-76.

  • Isabel Segura Bedmar. (2018). LABDA's Early Steps Toward Multimodal Stance Detection.. IberEval@SEPLN 2018. Sevilla, Spain. 2018, Septiembre. 180-186.

  • Victor Suarez Paniagua, Isabel Segura Bedmar, Akiko Aizawa. (2018). UC3M-NII Team at SemEval-2018 Task 7: Semantic Relation Classification in Scientific Papers via Convolutional Neural Network. Proceedings of The 12th International Workshop on Semantic Evaluation - SemEval 2018. New Orleans, USA. 2018, Agosto. 793-797.

2017

Revistas

  • Isabel Segura Bedmar, Paloma Martínez Fernández, Adrián Carruana Martín. (2017). Biomedical Semantic Indexing using search and graph database technologies. JMIR Medical Informatics. JMIR Publications Inc.. 2017, Noviembre.

  • 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

  • José Luis Martínez Fernández, Isabel Segura Bedmar, Paloma Martínez Fernández, Adrián Carruana Martín, Ali Naderi, Conchi Polo. (2017). MC-UC3M Participation at TAC 2017 Adverse Drug Reaction Extraction from Drug Labels. Text Analysis Conference (TAC) 2017. Gaithersburg, Maryland, USA. 2017, Noviembre.

  • Victor Suarez Paniagua, Isabel Segura Bedmar. (2017). Evaluation of Pooling Operations in Convolutional Architectures for Drug-Drug Interaction Extraction. Proceedings of 26th ACM International Conference on Information and Knowledge Management (CIKM). Singapore, Singapore. 2017, Noviembre. ACM. 8.

  • 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

  • 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

  • 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

  • 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

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

  • 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