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Isabel Segura Bedmar (Publications)

2022

Journals

  • Claudia Martínez-deMiguel, Isabel Segura Bedmar, Esteban Chacón-Solano, Sara Guerrero Aspizua. (2022). The RareDis corpus: a corpus annotated with rare diseases, their signs and symptoms. Journal of Biomedical Informatics. 125, (103961). Elsevier, 1532-0464. 2022, Octubre. 10.1016/j.jbi.2021.103961. [JCR, COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS, 8.000, Q1]. Link a la publicación

  • Isabel Segura Bedmar, Santiago Alonso-Bartolomé. (2022). Multimodal Fake News Detection. Information. 13, (6). mdpi, 2078-2489. 2022, Octubre. [JCI, COMPUTER SCIENCE, INFORMATION SYSTEMS, 0.62, Q3]. Link a la publicación

  • Isabel Segura Bedmar, David Camino Perdones, Sara Guerrero Aspizua. (2022). Exploring deep learning methods for recognizing rare diseases and their clinical manifestations from texts. BMC Bioinformatics. 23, (1). BioMed Central, 1471-2105. 2022, Septiembre. 10.1186/s12859-022-04810-y. [JCR, MATHEMATICAL & COMPUTATIONAL BIOLOGY, 3.328, Q2]. Link a la publicación

Conferences

  • Santiago Veigas Ramírez, Daniel Martínez Davies, Isabel Segura Bedmar. (2022). Recommendation System Rest-Mex 2022 for Mexican Tourism Using Natural Language Processing. IberLEF@SEPLN 2022. La Coruña, España. 2022, Octubre. CEUR Workshop Proceedings, 1613-0073. Link a la publicación

  • Angela Brando-Le-Bihan, Roman Karbushev, Isabel Segura Bedmar. (2022). UC3M at PAR-MEX@IberLef 2022: From Cosine Distance to Transformer Models for Paraphrase Identification in Mexican Spanish. IberLEF@SEPLN 2022. La Coruña, España. 2022, Octubre. CEUR Workshop Proceedings, 1613-0073. Link a la publicación

  • Mario Pérez Enríquez, Javier Alonso Mencía, Isabel Segura Bedmar. (2022). Transformers Approach for Sentiment Analysis: Classification of Mexican Tourists Reviews from TripAdvisor.. IberLEF@SEPLN 2022. La Coruña, España. 2022, Octubre. CEUR Workshop Proceedings, 1613-0073. 3203. Link a la publicación

  • Álvaro García-Ochoa Martín-Forero, Alejandro Massotti López, Isabel Segura Bedmar. (2022). UC3MDeep at PoliticEs 2022: Exploring Traditional Machine Learning Algorithms for Political Ideology Detection. IberLEF@SEPLN 2022. La Coruña, España. 2022, Octubre. CEUR Workshop Proceedings, 1613-0073. Link a la publicación

2021

Journals

  • Jose Antonio Jijon-Vorbeck, Isabel Segura Bedmar. (2021). Exploring the Impact of COVID-19 on Social Life by Deep Learning. Information. 12, (11). mdpi, 2078-2489. 2021, Noviembre. 10.3390/info12110459. [JCI, COMPUTER SCIENCE, INFORMATION SYSTEMS, 0.62, Q3]. Link a la publicación

  • Isabel Segura Bedmar, Lucía Ruz, Sara Guerrero Aspizua. (2021). Evaluación de un modelo transformador aplicado a la tarea de generación de resúmenes en distintos dominios. Procesamiento de Lenguaje Natural. 66, 27-39. 1989-7553. 2021, Septiembre. https://doi.org/10.26342/2021-66-2. [SJR, Computer Science Applications, Q4]. Link a la publicación

  • Elsa Scola, Isabel Segura Bedmar. (2021). Sarcasm Detection with BERT. Procesamiento de Lenguaje Natural. 67, 13-25. 1989-7553. 2021, Septiembre. [SJR, Computer Science Applications, Q4]. Link a la publicación

Conferences

  • Marta Navarrón García, Isabel Segura Bedmar. (2021). Exploring Deep Learning for Detecting Offensiveness in Social Network Comments. IberLEF 2021. Málaga, Spain. 2021, Septiembre. CEUR Workshop Proceedings.

  • Miguel Ángel Martín-Caro García-Largo, Isabel Segura Bedmar. (2021). Extracting information from radiology reports by Natural Language Processing and Deep Learning. Proceedings of the Working Notes of {CLEF} 2021. 2021, Septiembre. CEUR-WS.org. 2936, 804-817. Link a la publicación

2020

Journals

  • 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. [JCR, Computer Science, Interdisciplinary Applications, 3.526, Q1]. Link a la publicación

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

    https://github.com/ccolonruiz/DrugSentimentAnalysis

  • 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. 64, 69-76. 1989-7553. 2020, Abril. https://doi.org/10.26342/2020-64-8. [SJR, Computer Science Applications, Q4]. Link a la publicación

Conferences

  • 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

2019

Journals

  • 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

Conferences

  • 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). 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

  • 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

  • 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

Journals

  • 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].

Conferences

  • 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, 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.

  • 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

Journals

  • 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.

Conferences

  • 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.

  • 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.