• Daniel Guasch, Israel Martín-Escalona, José A. Macías, Virginia Francisco, Raquel Hervás, Lourdes Moreno, Susana Bautista. (2022). Design and Evaluation of ECO: an Augmentative and Alternative Communication Tool. Universal Access in the Information Society. in press. Springer, 1615-5297. 2022, Julio. [[JCR, Computer Science JCR, Impact factor (2020): 3.078, Q2]].



  • Renzo Mauricio Rivera Zavala, Paloma Martínez. (2021). Analyzing transfer learning impact in biomedical cross-lingual named entity recognition and normalization. BMC Bioinformatics. 22, (601). 2021, Diciembre. Link to article

  • 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. [SJR, Computer Science Applications, Q4]. Link a la publicación

  • Claudia Martínez-deMiguel, Isabel Segura Bedmar, Esteban Chacón-Solano, Sara Guerrero Aspizua. (2021). The RareDis corpus: a corpus annotated with rare diseases, their signs and symptoms. 2021, Septiembre. 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

  • Isabel Segura Bedmar, David Camino Perdones, Sara Guerrero Aspizua. (2021). Exploring deep learning methods for recognizing rare diseases and their clinical manifestations from texts. 2021, Septiembre. Link a la publicación

  • 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. [JCR, 2.044, Q2]. Enlace

  • 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].

  • 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. [JCR, Computer Science JCR, Impact factor (2020):3.078, Q2]. URL del artículo

  • 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. [JCR, 4.774, Q1]. Enlace


  • Renzo Mauricio Rivera Zavala, Paloma Martínez, José Luis Martínez Fernández. (2021). Creating Domain Specific Embeddings to Work with Imbalanced Datasets in Automatic Extraction of Medication Names in Tweets. Proceedings of the BioCreative VII Challenge Evaluation Workshop. on-line. 2021, Noviembre. ISBN: 978-0-578-32368-8. link to paper

  • Lourdes Moreno, Rodrigo Alarcón, Paloma Martínez. (2021). Designing and Evaluating a User Interface for People with Cognitive Disabilities. 21ª edición del Congreso Internacional de Interacción Persona-Ordenador (Interacción 20/21). Málaga, Spain. 2021, Septiembre. ACM, 978-1-4503-7597-9. Article No.: 5, pp 1–8. URL artículo

  • Rodrigo Alarcón, Lourdes Moreno, Paloma Martínez. (2021). Exploration of Spanish Word Embeddings for Lexical Simplification. First Workshop on Current Trends in Text Simplification (CTTS-2021) (SEPLN 2021). Málaga, Spain. 2021, Septiembre. CEUR. Vol-2944. URL artículo

  • 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. 2936, 804-817. Link a la publicación

  • José Manuel Masiello, Jose Luis Lopez-Cuadrado, Paloma Martínez. (2021). Participation of HULAT-UC3M in SEPP-NLG 2021 shared task. Proceedings of the Swiss Text Analytics Conference 2021. Winterthur, Switzerland. 2021, Junio. CEUR. Vol-2957. link to paper

  • 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.



  • 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., 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). 147–152.. [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].

  • 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., 1613-0073. 2664, 24-30. [PDF del artículo]


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

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

  • 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.

  • 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