M LOURDES
ARAUJO SERNA
Catedrático de Universidad
Instituto de Salud Carlos III
Madrid, EspañaPublications en collaboration avec des chercheurs de Instituto de Salud Carlos III (22)
2022
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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
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Discovering HIV related information by means of association rules and machine learning
Scientific Reports, Vol. 12, Núm. 1
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NLPIR-UNED at CheckThat! 2022: Ensemble of Classifiers for Fake News Detection
CEUR Workshop Proceedings
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Semi-supervised incremental learning with few examples for discovering medical association rules
BMC Medical Informatics and Decision Making, Vol. 22, Núm. 1
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UNED-MED at eRisk 2022: depression detection with TF-IDF, linguistic features and Embeddings
CEUR Workshop Proceedings
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UNED-NLP at eRisk 2022: Analyzing gambling disorders in Social Media using Approximate Nearest Neighbors
CEUR Workshop Proceedings
2021
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A keyphrase-based approach for interpretable ICD-10 code classification of Spanish medical reports
Artificial Intelligence in Medicine, Vol. 121
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LSI_UNED at CLEF eHealth2021: Exploring the effects of transfer learning in negation detection and entity recognition in clinical texts
CEUR Workshop Proceedings
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NLP&IR@UNED at CheckThat! 2021: Check-worthiness estimation and fake news detection using transformer models
CEUR Workshop Proceedings
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NLP-UNED at eRisk 2021: Self-harm early risk detection with TF-IDF and linguistic features
CEUR Workshop Proceedings
2020
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Genetic programming for natural language processing
Genetic Programming and Evolvable Machines, Vol. 21, Núm. 1-2, pp. 11-32
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NLP&IR@UNED at CheckThat! 2020: A Preliminary Approach for Check-Worthiness and Claim Retrieval Tasks using Neural Networks and Graphs
CEUR Workshop Proceedings
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NLP-UNED at eRisk 2020: self-harm early risk detection with sentiment analysis and linguistic features
CEUR Workshop Proceedings
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Understanding and Improving Disability Identification in Medical Documents
IEEE Access, Vol. 8, pp. 155399-155408
2019
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De-identification through named entity recognition for medical document anonymization
CEUR Workshop Proceedings
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Discovering related scientific literature beyond semantic similarity: a new co-citation approach
Scientometrics, Vol. 120, Núm. 1, pp. 105-127
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Extending a deep learning approach for negation cues detection in Spanish
CEUR Workshop Proceedings
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NLP uned at eHealth-KD challenge 2019 deep learning for named entity recognition and attentive relation extraction
CEUR Workshop Proceedings
2018
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Co-occurrence graphs for word sense disambiguation in the biomedical domain
Artificial Intelligence in Medicine, Vol. 87, pp. 9-19
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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