Hermenegildo Fabregat

35 papers Journal 12Unranked 23
YearRankTypeTitle / Venue / Authors
2026 — conf
TalentCLEF at CLEF2026: Skill and Job Title Intelligence for Human Capital Management.
ECIR (4)
Luis Gascó, Hermenegildo Fabregat, Laura García-Sardiña, Paula Estrella, Casimiro Pio Carrino, Daniel Deniz, Álvaro Rodrigo, Rabih Zbib
2025 — conf
Brief Overview of TalentCLEF 2025.
CLEF (Working Notes)
Luis Gascó, Hermenegildo Fabregat, Laura García-Sardiña, Paula Estrella, Daniel Deniz, Álvaro Rodrigo, Rabih Zbib
2025 J jnl
Measuring Gender Bias in Job Title Matching for Grammatical Gender Languages.
CoRR
Laura García-Sardiña, Hermenegildo Fabregat, Daniel Deniz, Rabih Zbib
2025 — conf
Overview of the TalentCLEF 2025: Skill and Job Title Intelligence for Human Capital Management.
CLEF
Luis Gascó, Hermenegildo Fabregat, Laura García-Sardiña, Paula Estrella, Daniel Deniz, Álvaro Rodrigo, Rabih Zbib
2025 J jnl
Overview of the TalentCLEF 2025: Skill and Job Title Intelligence for Human Capital Management.
CoRR
Luis Gascó, Hermenegildo Fabregat, Laura García-Sardiña, Paula Estrella, Daniel Deniz, Álvaro Rodrigo, Rabih Zbib
2025 — conf
TalentCLEF at CLEF2025: Skill and Job Title Intelligence for Human Capital Management.
ECIR (5)
Luis Gascó, Hermenegildo Fabregat, Laura García-Sardiña, Daniel Deniz, Álvaro Rodrigo, Paula Estrella, Rabih Zbib
2024 — conf
Combined Unsupervised and Contrastive Learning for Multilingual Job Recommendation.
HR@RecSys
Daniel Deniz, Federico Retyk, Laura García-Sardiña, Hermenegildo Fabregat, Luis Gascó, Rabih Zbib
2024 J jnl
Inductive Graph Neural Network for Job-Skill Framework Analysis.
Proces. del Leng. Natural
Hermenegildo Fabregat, Rus Poves, Lucas Lacasa Alvarez, Federico Retyk, Laura García-Sardiña, Rabih Zbib
2024 J jnl
Intent Classification Methods for Human Resources Chatbots.
Proces. del Leng. Natural
Lucas Lacasa Alvarez, Martín Dévora-Pajares, Rabih Zbib, Hermenegildo Fabregat
2024 — conf
NLP-UNED at eRisk 2024: Approximate Nearest Neighbors with Encoding Refinement for Early Detecting Signs of Anorexia.
CLEF (Working Notes)
Hermenegildo Fabregat, Daniel Deniz, Andrés Duque, Lourdes Araujo, Juan Martínez-Romo
2024 — conf
UNED-GELP at MentalRiskES 2024: Transformer-Based Encoders and Similarity Techniques for Early Risk Prediction of Mental Disorders.
IberLEF@SEPLN
Jorge Fernandez-Hernandez, Hermenegildo Fabregat, Andrés Duque, Lourdes Araujo, Juan Martínez-Romo
2023 — conf
A Re-labeling Approach Based on Approximate Nearest Neighbors for Identifying Gambling Disorders in Social Media.
CLEF
Hermenegildo Fabregat, Andrés Duque, Lourdes Araujo, Juan Martínez-Romo
2023 — conf
LSI_UNED at ClinAIS 2023: Transformer Models for Section Identification in Spanish Medical Reports.
IberLEF@SEPLN
Andrés Duque, Lourdes Araujo, Juan Martínez-Romo, Hermenegildo Fabregat
2023 — conf
NLP-UNED at MentalRiskES 2023: Approximate Nearest Neighbors for Identifying Health Disorders.
IberLEF@SEPLN
Hermenegildo Fabregat, Andrés Duque, Lourdes Araujo, Juan Martínez-Romo
2023 — conf
NLP-UNED-2 at eRisk 2023: Detecting Pathological Gambling in Social Media through Dataset Relabeling and Neural Networks.
CLEF (Working Notes)
Hermenegildo Fabregat, Andrés Duque, Lourdes Araujo, Juan Martínez-Romo
2023 J jnl
Negation-based transfer learning for improving biomedical Named Entity Recognition and Relation Extraction.
J. Biomed. Informatics
Hermenegildo Fabregat, Andrés Duque, Juan Martínez-Romo, Lourdes Araujo
2023 J jnl
Normalisation of Education Information in Digitalised Recruitment Processes.
Proces. del Leng. Natural
Laura García-Sardiña, Federico Retyk, Hermenegildo Fabregat, Lucas Lacasa Alvarez, Rus Poves, Rabih Zbib
2023 — conf
Résumé Parsing as Hierarchical Sequence Labeling: An Empirical Study.
HR@RecSys
Federico Retyk, Hermenegildo Fabregat, Juan Aizpuru, Mariana Taglio, Rabih Zbib
2023 J jnl
Résumé Parsing as Hierarchical Sequence Labeling: An Empirical Study.
CoRR
Federico Retyk, Hermenegildo Fabregat, Juan Aizpuru, Mariana Taglio, Rabih Zbib
2022 J jnl
Learning Job Titles Similarity from Noisy Skill Labels.
CoRR
Rabih Zbib, Lucas Lacasa Alvarez, Federico Retyk, Rus Poves, Juan Aizpuru, Hermenegildo Fabregat, Vaidotas Simkus, Emília Garcia Casademont
2022 — conf
UNED at PoliticEs 2022: Testing Approximate Nearest Neighbors and Spanish Language Models for Author Profiling in Political Ideology.
IberLEF@SEPLN
Álvaro Rodrigo, Hermenegildo Fabregat, Roberto Centeno
2022 — conf
UNED-NLP at eRisk 2022: Analyzing gambling disorders in Social Media using Approximate Nearest Neighbors.
CLEF (Working Notes)
Hermenegildo Fabregat, Andrés Duque, Lourdes Araujo, Juan Martínez-Romo
2021 J jnl
A keyphrase-based approach for interpretable ICD-10 code classification of Spanish medical reports.
Artif. Intell. Medicine
Andrés Duque, Hermenegildo Fabregat, Lourdes Araujo, Juan Martínez-Romo
2021 — conf
LSI_UNED at CLEF eHealth2021: Exploring the effects of transfer learning in negation detection and entity recognition in clinical texts.
CLEF (Working Notes)
Hermenegildo Fabregat, Andrés Duque, Lourdes Araujo, Juan Martínez-Romo
2021 — conf
NLP-UNED at eRisk 2021: self-harm early risk detection with TF-IDF and linguistic features.
CLEF (Working Notes)
Elena Campillo Ageitos, Hermenegildo Fabregat, Lourdes Araujo, Juan Martínez-Romo
2020 — conf
Anorexia Topical Trends in Self-declared Reddit Users.
CIRCLE
Razan Masood, Mengjiao Hu, Hermenegildo Fabregat, Ahmet Aker, Norbert Fuhr
2020 J jnl
Understanding and Improving Disability Identification in Medical Documents.
IEEE Access
Hermenegildo Fabregat, Juan Martínez-Romo, Lourdes Araujo
2019 — conf
De-Identification through Named Entity Recognition for Medical Document Anonymization.
IberLEF@SEPLN
Hermenegildo Fabregat, Andrés Duque, Juan Martínez-Romo, Lourdes Araujo
2019 J jnl
Deep learning approach for negation trigger and scope recognition.
Proces. del Leng. Natural
Hermenegildo Fabregat, Lourdes Araujo, Juan Martínez-Romo
2019 — conf
Extending a Deep Learning Approach for Negation Cues Detection in Spanish.
IberLEF@SEPLN
Hermenegildo Fabregat, Andrés Duque, Juan Martínez-Romo, Lourdes Araujo
2019 — conf
NLP_UNED at eHealth-KD Challenge 2019: Deep Learning for Named Entity Recognition and Attentive Relation Extraction.
IberLEF@SEPLN
Hermenegildo Fabregat, Andres Duque Fernandez, Juan Martínez-Romo, Lourdes Araujo
2018 J jnl
Deep neural models for extracting entities and relationships in the new RDD corpus relating disabilities and rare diseases.
Comput. Methods Programs Biomed.
Hermenegildo Fabregat, Lourdes Araujo, Juan Martínez-Romo
2018 — conf
Overview of the DIANN Task: Disability Annotation Task.
IberEval@SEPLN
Hermenegildo Fabregat, Juan Martínez-Romo, Lourdes Araujo
2018 — conf
UNED at DIANN 2018: Unsupervised System for Automatic Disabilities Labeling in Medical Scientific Documents.
IberEval@SEPLN
Hermenegildo Fabregat, Juan Martínez-Romo, Lourdes Araujo
2017 — conf
Simulation and implementation of a low-cost platform to improve the quality of biological images.
SummerSim
Hermenegildo Fabregat, Alberto A. Del Barrio, Guillermo Botella