Publicacións en colaboración con investigadores/as de Instituto de Salud Carlos III (22)

2022

  1. Approximate Nearest Neighbour Extraction Techniques and Neural Networks for Suicide Risk Prediction in the CLPsych 2022 Shared Task

    CLPsych 2022 - 8th Workshop on Computational Linguistics and Clinical Psychology, Proceedings

  2. Discovering HIV related information by means of association rules and machine learning

    Scientific Reports, Vol. 12, Núm. 1

  3. NLPIR-UNED at CheckThat! 2022: Ensemble of Classifiers for Fake News Detection

    CEUR Workshop Proceedings

  4. Semi-supervised incremental learning with few examples for discovering medical association rules

    BMC Medical Informatics and Decision Making, Vol. 22, Núm. 1

  5. UNED-MED at eRisk 2022: depression detection with TF-IDF, linguistic features and Embeddings

    CEUR Workshop Proceedings

  6. UNED-NLP at eRisk 2022: Analyzing gambling disorders in Social Media using Approximate Nearest Neighbors

    CEUR Workshop Proceedings

2021

  1. A keyphrase-based approach for interpretable ICD-10 code classification of Spanish medical reports

    Artificial Intelligence in Medicine, Vol. 121

  2. LSI_UNED at CLEF eHealth2021: Exploring the effects of transfer learning in negation detection and entity recognition in clinical texts

    CEUR Workshop Proceedings

  3. NLP&IR@UNED at CheckThat! 2021: Check-worthiness estimation and fake news detection using transformer models

    CEUR Workshop Proceedings

  4. NLP-UNED at eRisk 2021: Self-harm early risk detection with TF-IDF and linguistic features

    CEUR Workshop Proceedings

2020

  1. Genetic programming for natural language processing

    Genetic Programming and Evolvable Machines, Vol. 21, Núm. 1-2, pp. 11-32

  2. NLP&IR@UNED at CheckThat! 2020: A Preliminary Approach for Check-Worthiness and Claim Retrieval Tasks using Neural Networks and Graphs

    CEUR Workshop Proceedings

  3. NLP-UNED at eRisk 2020: self-harm early risk detection with sentiment analysis and linguistic features

    CEUR Workshop Proceedings

  4. Understanding and Improving Disability Identification in Medical Documents

    IEEE Access, Vol. 8, pp. 155399-155408

2019

  1. De-identification through named entity recognition for medical document anonymization

    CEUR Workshop Proceedings

  2. Discovering related scientific literature beyond semantic similarity: a new co-citation approach

    Scientometrics, Vol. 120, Núm. 1, pp. 105-127

  3. Extending a deep learning approach for negation cues detection in Spanish

    CEUR Workshop Proceedings

  4. NLP uned at eHealth-KD challenge 2019 deep learning for named entity recognition and attentive relation extraction

    CEUR Workshop Proceedings

2018

  1. Co-occurrence graphs for word sense disambiguation in the biomedical domain

    Artificial Intelligence in Medicine, Vol. 87, pp. 9-19

  2. Deep neural models for extracting entities and relationships in the new RDD corpus relating disabilities and rare diseases

    Computer Methods and Programs in Biomedicine, Vol. 164, pp. 121-129