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ORCIDHermenegildo Fabregat
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2020 – today
- 2024
[j8]Hermenegildo Fabregat, Rus Poves, Lucas Lacasa Alvarez, Federico Retyk, Laura García-Sardiña, Rabih Zbib:
Inductive Graph Neural Network for Job-Skill Framework Analysis. Proces. del Leng. Natural 73: 83-94 (2024)- [j7]Lucas Lacasa Alvarez, Martín Dévora-Pajares, Rabih Zbib, Hermenegildo Fabregat:
Intent Classification Methods for Human Resources Chatbots. Proces. del Leng. Natural 73: 109-124 (2024) - [c18]Hermenegildo Fabregat, Daniel Deniz, Andrés Duque, Lourdes Araujo, Juan Martínez-Romo:
NLP-UNED at eRisk 2024: Approximate Nearest Neighbors with Encoding Refinement for Early Detecting Signs of Anorexia. CLEF (Working Notes) 2024: 813-824 - [c17]Jorge Fernandez-Hernandez, Hermenegildo Fabregat, Andrés Duque, Lourdes Araujo, Juan Martínez-Romo:
UNED-GELP at MentalRiskES 2024: Transformer-Based Encoders and Similarity Techniques for Early Risk Prediction of Mental Disorders. IberLEF@SEPLN 2024 - 2023
- [j6]Hermenegildo Fabregat
, Andrés Duque, Juan Martínez-Romo, Lourdes Araujo:
Negation-based transfer learning for improving biomedical Named Entity Recognition and Relation Extraction. J. Biomed. Informatics 138: 104279 (2023) - [j5]Laura García-Sardiña, Federico Retyk, Hermenegildo Fabregat, Lucas Lacasa Alvarez, Rus Poves, Rabih Zbib:
Normalisation of Education Information in Digitalised Recruitment Processes. Proces. del Leng. Natural 71: 63-73 (2023) - [c16]Hermenegildo Fabregat, Andrés Duque, Lourdes Araujo, Juan Martínez-Romo:
A Re-labeling Approach Based on Approximate Nearest Neighbors for Identifying Gambling Disorders in Social Media. CLEF 2023: 174-185 - [c15]Hermenegildo Fabregat, Andrés Duque, Lourdes Araujo, Juan Martínez-Romo:
NLP-UNED-2 at eRisk 2023: Detecting Pathological Gambling in Social Media through Dataset Relabeling and Neural Networks. CLEF (Working Notes) 2023: 672-683 - [c14]Federico Retyk, Hermenegildo Fabregat, Juan Aizpuru, Mariana Taglio, Rabih Zbib:
Résumé Parsing as Hierarchical Sequence Labeling: An Empirical Study. HR@RecSys 2023 - [c13]Andrés Duque, Lourdes Araujo, Juan Martínez-Romo, Hermenegildo Fabregat:
LSI_UNED at ClinAIS 2023: Transformer Models for Section Identification in Spanish Medical Reports. IberLEF@SEPLN 2023 - [c12]Hermenegildo Fabregat, Andrés Duque, Lourdes Araujo, Juan Martínez-Romo:
NLP-UNED at MentalRiskES 2023: Approximate Nearest Neighbors for Identifying Health Disorders. IberLEF@SEPLN 2023 - [i2]Federico Retyk, Hermenegildo Fabregat, Juan Aizpuru, Mariana Taglio, Rabih Zbib:
Résumé Parsing as Hierarchical Sequence Labeling: An Empirical Study. CoRR abs/2309.07015 (2023) - 2022
- [c11]Hermenegildo Fabregat, Andrés Duque, Lourdes Araujo, Juan Martínez-Romo:
UNED-NLP at eRisk 2022: Analyzing gambling disorders in Social Media using Approximate Nearest Neighbors. CLEF (Working Notes) 2022: 894-904 - [c10]Álvaro Rodrigo, Hermenegildo Fabregat, Roberto Centeno:
UNED at PoliticEs 2022: Testing Approximate Nearest Neighbors and Spanish Language Models for Author Profiling in Political Ideology. IberLEF@SEPLN 2022 - [i1]Rabih Zbib, Lucas Lacasa Alvarez, Federico Retyk, Rus Poves, Juan Aizpuru, Hermenegildo Fabregat, Vaidotas Simkus, Emília Garcia Casademont:
Learning Job Titles Similarity from Noisy Skill Labels. CoRR abs/2207.00494 (2022) - 2021
- [j4]Andrés Duque, Hermenegildo Fabregat, Lourdes Araujo, Juan Martínez-Romo:
A keyphrase-based approach for interpretable ICD-10 code classification of Spanish medical reports. Artif. Intell. Medicine 121: 102177 (2021) - [c9]Hermenegildo Fabregat, Andrés Duque, Lourdes Araujo, Juan Martínez-Romo:
LSI_UNED at CLEF eHealth2021: Exploring the effects of transfer learning in negation detection and entity recognition in clinical texts. CLEF (Working Notes) 2021: 780-793 - [c8]Elena Campillo Ageitos, Hermenegildo Fabregat, Lourdes Araujo, Juan Martínez-Romo:
NLP-UNED at eRisk 2021: self-harm early risk detection with TF-IDF and linguistic features. CLEF (Working Notes) 2021: 950-965 - 2020
- [j3]Hermenegildo Fabregat, Juan Martínez-Romo, Lourdes Araujo:
Understanding and Improving Disability Identification in Medical Documents. IEEE Access 8: 155399-155408 (2020) - [c7]Razan Masood, Mengjiao Hu, Hermenegildo Fabregat, Ahmet Aker, Norbert Fuhr:
Anorexia Topical Trends in Self-declared Reddit Users. CIRCLE 2020
2010 – 2019
- 2019
- [j2]Hermenegildo Fabregat, Lourdes Araujo, Juan Martínez-Romo:
Deep learning approach for negation trigger and scope recognition. Proces. del Leng. Natural 62: 37-44 (2019) - [c6]Hermenegildo Fabregat, Andres Duque Fernandez, Juan Martínez-Romo, Lourdes Araujo:
NLP_UNED at eHealth-KD Challenge 2019: Deep Learning for Named Entity Recognition and Attentive Relation Extraction. IberLEF@SEPLN 2019: 67-77 - [c5]Hermenegildo Fabregat, Andrés Duque, Juan Martínez-Romo, Lourdes Araujo:
Extending a Deep Learning Approach for Negation Cues Detection in Spanish. IberLEF@SEPLN 2019: 369-377 - [c4]Hermenegildo Fabregat, Andrés Duque, Juan Martínez-Romo, Lourdes Araujo:
De-Identification through Named Entity Recognition for Medical Document Anonymization. IberLEF@SEPLN 2019: 663-670 - 2018
- [j1]Hermenegildo Fabregat, Lourdes Araujo, Juan Martínez-Romo:
Deep neural models for extracting entities and relationships in the new RDD corpus relating disabilities and rare diseases. Comput. Methods Programs Biomed. 164: 121-129 (2018) - [c3]Hermenegildo Fabregat, Juan Martínez-Romo, Lourdes Araujo:
Overview of the DIANN Task: Disability Annotation Task. IberEval@SEPLN 2018: 1-14 - [c2]Hermenegildo Fabregat, Juan Martínez-Romo, Lourdes Araujo:
UNED at DIANN 2018: Unsupervised System for Automatic Disabilities Labeling in Medical Scientific Documents. IberEval@SEPLN 2018: 53-60 - 2017
- [c1]Hermenegildo Fabregat, Alberto A. Del Barrio, Guillermo Botella:
Simulation and implementation of a low-cost platform to improve the quality of biological images. SummerSim 2017: 25:1-25:9
Coauthor Index
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last updated on 2024-10-25 21:15 CEST by the dblp team
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