Publicaciones

2021

Revistas

  • Jesús Leonardo López-Hernández, Israel González Carrasco, Jose Luis Lopez-Cuadrado, Belén Ruiz-Mezcua. (2021). Framework for the classification of emotions in people with visual disabilities through brain signals. Frontiers in Neuroinformatics. Frontiers. 2021, Abril. 10.3389/fninf.2021.642766. [JCR, 2.649, Q1].

  • Lucas Rodrigo-Salazar, Israel González Carrasco, Alejandro Rafael Garcia Ramirez. (2021). An IoT-based contribution to improve mobility of the visually impaired in Smart Cities. Computing. Springer. 2021, Abril. https://doi.org/10.1007/s00521-021-05751-y. [JCR, 2.044, Q2]. Enlace

  • Rodrigo Alarcón, Lourdes Moreno, Paloma Martínez. (2021). Lexical Simplification System to Improve Web Accessibility. IEEE Access. 9, 58755-58767. 2169-3536. 2021, Abril. 10.1109/ACCESS.2021.3072697. [Computer Science, Information Systems, 3.745, Q1]. URL del artículo

  • Lourdes Moreno, J. Eduardo Pérez, Xabier Valencia, Myriam Arrue. (2021). An exploratory study of web adaptation techniques for people with low vision. Universal Access in the Information Society. (in press). Springer, 1615-5297. 2021, Febrero. https://doi.org/10.1007/s10209-020-00727-6. [JCR, Computer Science JCR, Impact factor (2019): 1.815, Q2]. URL del artículo

  • Daniel Guasch, Israel Martín-Escalona, José A. Macías, Virginia Francisco, Raquel Hervás, Lourdes Moreno, Susana Bautista. (2021). Design and Evaluation of ECO: an Augmentative and Alternative Communication Tool. Universal Access in the Information Society. in press. Springer, 1615-5297. 2021, Febrero. [[JCR, Computer Science JCR, Impact factor (2019): 1.815, Q2]].

  • Alejandro Martin, Israel González Carrasco, Victor Rodriguez-Fernandez, Monica Souto Rico, Belén Ruiz-Mezcua, David Camacho. (2021). Deep-Sync: A novel deep learning-based tool for semantic-aware subtitling synchronisation. Neural Computing and Applications. Springer London. 2021, Febrero. https://doi.org/10.1007/s00521-021-05751-y. [JCR, 4.774, Q1]. Enlace

Congresos

  • Areej Jaber, Paloma Martínez. (2021). Disambiguating Clinical Abbreviations Using Pre-trained Word Embeddings. The 14th International Joint Conference on Biomedical Engineering Systems and Technologies. online streamimg. 2021, Febrero. ScitePress Digital Library, ISBN 978-989-758-490-9. 5 HEALTHINF, 501-508. 10.5220/0010256105010508. link to paper

  • Areej Jaber, Paloma Martínez Fernández. (2021). Participation of UC3M in SDU@AAAI-21: A Hybrid Approach to Disambiguate Scientific Acronyms. The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21). Virtual Conference. 2021, Febrero.

2020

Congresos

  • Rodrigo Alarcón. (2020). Simplificación Léxica para la Mejora de la Accesibilidad Cognitiva (Lexical Simplification to Improve Cognitive Accessibility). PLNnet-DS-2020 ( Proceedings of the Doctoral Symposium on Natural Language Processing). Jaén, Spain. 2020, Diciembre. CEUR-WS.org, 1613-0073. 2802, 1-7. URL del artículo

  • Jaime Baldeón, Paloma Martínez Fernández, José Luis Martínez Fernández. (2020). "Combining financial word embeddings and knowledge-based features for financial text summarization UC3M-MC System at FNS-2020". Proceedings of the 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation. Barcelona, España. 2020, Diciembre. COLING. 112-117. link to paper

  • Rodrigo Alarcón, Lourdes Moreno, Paloma Martínez Fernández. (2020). Word-Sense disambiguation system for text readability. DSAI 2020 (9th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Info-exclusion). 2020, Diciembre. ACM Digital Library (in press). [URL del artículo]

  • Lourdes Moreno, Rodrigo Alarcón, Paloma Martínez Fernández. (2020). EASIER system. Language resources for cognitive accessibility. 22nd International ACM SIGACCESS Conference on Computers and Accessibility. ASSETS 2020. (Virtual). 2020, Octubre. ACM Digital Library, (in press). [GII-GRIN-SCIE, GGS Class 3].

  • 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

  • Sergio Santamaria , Paloma Martínez Fernández. (2020). Using Embeddings and Bi-LSTM+CRF Model to Detect Tumor Morphology Entities in Spanish Clinical Cases. Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2020). Málaga, Spain. 2020, Septiembre. CEUR. Vol-2664, 368-375. PDF del artículo

  • Rodrigo Alarcón, Lourdes Moreno, Paloma Martínez Fernández. (2020). Hulat - ALexS CWI task - CWI for Language and Learning Disabilities applied to University Educational Texts. ALexS 2020: Lexicon Analysis Task. IberLEF (Iberian Languages Evaluation Forum) co-located with SEPLN 2020. Málaga, Spain. 2020, Septiembre. CEUR-WS.org, 1613-0073. 2664, 24-30. [PDF del artículo]

  • Renzo Mauricio Rivera Zavala, Paloma Martínez Fernández. (2020). Deep Neural Model with Contextualized-word Embeddings for Named Entity Recognition in Spanish Clinical Text. Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2020). Málaga, Spain. 2020, Septiembre. Vol-2664, 385-395. PDF del artículo

  • 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

Revistas

  • Renzo Mauricio Rivera Zavala, Paloma Martínez Fernández. (2020). The Impact of Pretrained Language Models on Negation and Speculation Detection in Cross-Lingual Medical Text: Comparative Study. JMIR Medical Informatics. 8, (12), 1-21. 2020, Diciembre. 10.2196/18953. [JCR, Q2]. link to paper

  • Liliya Akhtyamova, Paloma Martínez Fernández, Karin Verspoor, John Cardiff. (2020). Testing Contextualized Word Embeddings to Improve NER in Spanish Clinical Case Narratives. IEEE ACCESS. 8, 164717-164726. IEEE. 2020, Octubre. 10.1109/ACCESS.2020.3018688. PDF del artículo

  • 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

  • Jose Luis Lopez-Cuadrado, Israel González Carrasco, Leonardo Lopez Hernandez, Paloma Martínez Fernández, José Luis Martínez Fernández. (2020). Automatic learning framework for pharmaceutical record matching. IEEE Access. 8, 171754-171770. IEEE, 2169-3536. 2020, Septiembre. 10.1109/ACCESS.2017.Doi Number. PDF del artículo

  • Pablo Revuelta, Tomás Ortiz, Maria José Lucía Mulas, Belén Ruiz-Mezcua, José Manuel Sánchez-Pena. (2020). Limitations of Standard Accessible Captioning of Sounds and Music for Deaf and Hard of Hearing People: An EEG Study. Frontiers in Integrative Neuroscience. 14, (1). Frontiers, 1662-5145. 2020, Septiembre. 10.3389/fnint.2020.00001.

  • João Barroso, Lourdes Moreno, Hugo Paredes, Franz Puehretmair, Tania Rocha. (2020). Special issue on accessibility and software design for all. Universal Access in the Information Society (UAIS). 19, (3), 483–484. Springer, 1615-5297. 2020, Agosto. https://doi.org/10.1007/s10209-019-00661-2. [JCR, Computer Science JCR, Impact factor (2019): 1.815, Q2]. URL del artículo

  • Monica Souto Rico, Israel González Carrasco, Jose Luis Lopez-Cuadrado, Belén Ruiz-Mezcua. (2020). A new system for automatic analysis and quality adjustment in audiovisual subtitled‐based contents by means of genetic algorithms. Expert Systems. Wiley, 1468-0394. 2020, Enero. https://doi.org/10.1111/exsy.12512. [JCR, 1,505, Q2]. URL

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].

Congresos

  • Areej Jaber, Paloma Martínez Fernández. (2019). Abbreviation Extraction and Normalization in Spanish Clinical Text. Doctoral Symposium at SEPLN 2019. Bilbao, Spain. 2019, Septiembre. 1613-0073. 2633, 13-19. http://ceur-ws.org/Vol-2633/paper3.pdf

  • Alejandro Ruiz de la Cuadra, Jose Luis Lopez-Cuadrado, Israel González Carrasco, Belén Ruiz-Mezcua. (2019). Hulat-TaskA at eHealth-KD Challenge 2019 Sequence Key Phrases Recognition in the Spanish Clinical Narrative. Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2019). Bilbao, Spain. 2019, Septiembre. 1613-0073. 26-34. Paper

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

  • Areej Istaiti, Paloma Martínez Fernández. (2019). Abbreviation Extraction in Spanish Clinical Text. 6th ACM Celebration of Women in Computing: womENcourage 2019. Rome, Italy. 2019, Septiembre. https://womencourage.acm.org/2019/wp-content/uploads/2019/07/womENcourage_2019_paper_7.pdf