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Hermenegildo Fabregat Marcos
Hermenegildo Fabregat Marcos
Avature - Phd. Computer Science
Verified email at avature.net
Title
Cited by
Cited by
Year
Deep neural models for extracting entities and relationships in the new RDD corpus relating disabilities and rare diseases
H Fabregat, L Araujo, J Martinez-Romo
Computer methods and programs in biomedicine 164, 121-129, 2018
222018
Deep Learning approach for Negation Cues Detection in Spanish
H Fabregat, L Araujo, J Martinez-Romo
Proceedings of the second Workshop about Spanish Negation, 2018
21*2018
Overview of the DIANN Task: Disability Annotation Task.
H Fabregat, J Martinez-Romo, L Araujo
IberEval@ SEPLN, 1-14, 2018
192018
Negation-based transfer learning for improving biomedical Named Entity Recognition and Relation Extraction
H Fabregat, A Duque, J Martinez-Romo, L Araujo
Journal of Biomedical Informatics 138, 104279, 2023
172023
A keyphrase-based approach for interpretable ICD-10 code classification of Spanish medical reports
A Duque, H Fabregat, L Araujo, J Martinez-Romo
Artificial Intelligence in Medicine 121, 102177, 2021
162021
Extending a Deep Learning Approach for Negation Cues Detection in Spanish.
H Fabregat, A Duque, J Martinez-Romo, L Araujo
IberLEF@ SEPLN, 369-377, 2019
142019
NLP-UNED at eRisk 2021: self-harm early risk detection with TF-IDF and linguistic features
E Campillo-Ageitos, H Fabregat, L Araujo, J Martinez-Romo
Working notes of CLEF, 21-24, 2021
122021
Deep learning approach for negation trigger and scope recognition
H Fabregat, L Araujo Serna, J Martínez Romo
Sociedad Española para el Procesamiento del Lenguaje Natural, 2019
122019
UNED-NLP at eRisk 2022: Analyzing gambling disorders in Social Media using Approximate Nearest Neighbors.
H Fabregat, A Duque, L Araujo, J Martínez-Romo
CLEF (Working Notes), 894-904, 2022
112022
De-Identification through Named Entity Recognition for Medical Document Anonymization.
H Fabregat, A Duque, J Martinez-Romo, L Araujo
IberLEF@ SEPLN, 663-670, 2019
82019
LSI_UNED at CLEF eHealth2021: Exploring the effects of transfer learning in negation detection and entity recognition in clinical texts.
H Fabregat, A Duque, L Araujo, J Martinez-Romo
CLEF (Working Notes), 780-793, 2021
72021
NLP_UNED at eHealth-KD Challenge 2019: Deep Learning for Named Entity Recognition and Attentive Relation Extraction
H Fabregat, A Duque, J Martinez-Romo, L Araujo
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2019) co …, 2019
72019
Approximate nearest neighbour extraction techniques and neural networks for suicide risk prediction in the clpsych 2022 shared task
HF Marcos, A Cejudo, J Martinez-Romo, A Pérez, L Araujo, N Lebea, ...
Proceedings of the Eighth Workshop on Computational Linguistics and Clinical …, 2022
62022
Understanding and Improving Disability Identification in Medical Documents
H Fabregat, J Martínez-Romo, L Araujo
IEEE Access 8, 155399 - 155408, 2020
62020
Anorexia Topical Trends in Self-declared Reddit Users
R Masood, M Hu, H Fabregat, A Aker, N Fuhr
Joint Conference of the Information Retrieval Communities in Europe (CIRCLE …, 2020
52020
UNED at DIANN 2018: Unsupervised System for Automatic Disabilities Labeling in Medical Scientific Documents
H Fabregat, J Martinez-Romo, L Araujo
Proceedings of the Workshop on Evaluation of Human Language Technologies for …, 2018
42018
NLP-UNED at MentalRiskES 2023: Approximate Nearest Neighbors for Identifying Health Disorders.
H Fabregat, A Duque, L Araujo, J Martínez-Romo
IberLEF@ SEPLN, 2023
22023
NLP-UNED-2 at eRisk 2023: Detecting Pathological Gambling in Social Media through Dataset Relabeling and Neural Networks.
H Fabregat, A Duque, L Araujo, J Martínez-Romo
CLEF (Working Notes), 672-683, 2023
22023
Learning Job Titles Similarity from Noisy Skill Labels
R Zbib, LA Lacasa, F Retyk, R Poves, J Aizpuru, H Fabregat, V Simkus, ...
arXiv preprint arXiv:2207.00494, 2022
22022
R\'esum\'e Parsing as Hierarchical Sequence Labeling: An Empirical Study
F Retyk, H Fabregat, J Aizpuru, M Taglio, R Zbib
arXiv preprint arXiv:2309.07015, 2023
12023
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