Simulation and implementation of a low-cost platform to improve the quality of biological images. - Hermenegildo Fabregat; Alberto A. Del Barrio; Guillermo Botella (SummerSim, 2017)

Overview of the DIANN Task: Disability Annotation Task. - Hermenegildo Fabregat; Juan Martínez-Romo; Lourdes Araujo (IberEval@SEPLN, 2018)

UNED at DIANN 2018: Unsupervised System for Automatic Disabilities Labeling in Medical Scientific Documents. - Hermenegildo Fabregat; Juan Martínez-Romo; Lourdes Araujo (IberEval@SEPLN, 2018)

Deep neural models for extracting entities and relationships in the new RDD corpus relating disabilities and rare diseases. - Hermenegildo Fabregat; Lourdes Araujo; Juan Martínez-Romo (Comput. Methods Programs Biomed., 2018)

Extending a Deep Learning Approach for Negation Cues Detection in Spanish. - Hermenegildo Fabregat; Andrés Duque; Juan Martínez-Romo; Lourdes Araujo (IberLEF@SEPLN, 2019)

De-Identification through Named Entity Recognition for Medical Document Anonymization. - Hermenegildo Fabregat; Andrés Duque; Juan Martínez-Romo; Lourdes Araujo (IberLEF@SEPLN, 2019)

NLP_UNED at eHealth-KD Challenge 2019: Deep Learning for Named Entity Recognition and Attentive Relation Extraction. - Hermenegildo Fabregat; Andres Duque Fernandez; Juan Martínez-Romo; Lourdes Araujo (IberLEF@SEPLN, 2019)

Deep learning approach for negation trigger and scope recognition. - Hermenegildo Fabregat; Lourdes Araujo; Juan Martínez-Romo (Proces. del Leng. Natural, 2019)

Anorexia Topical Trends in Self-declared Reddit Users. - Razan Masood; Mengjiao Hu; Hermenegildo Fabregat; Ahmet Aker; Norbert Fuhr (CIRCLE, 2020)

Understanding and Improving Disability Identification in Medical Documents. - Hermenegildo Fabregat; Juan Martínez-Romo; Lourdes Araujo (IEEE Access, 2020)

NLP-UNED at eRisk 2021: self-harm early risk detection with TF-IDF and linguistic features. - Elena Campillo Ageitos; Hermenegildo Fabregat; Lourdes Araujo; Juan Martínez-Romo (CLEF (Working Notes), 2021)

LSI_UNED at CLEF eHealth2021: Exploring the effects of transfer learning in negation detection and entity recognition in clinical texts. - Hermenegildo Fabregat; Andrés Duque; Lourdes Araujo; Juan Martínez-Romo (CLEF (Working Notes), 2021)

A keyphrase-based approach for interpretable ICD-10 code classification of Spanish medical reports. - Andrés Duque; Hermenegildo Fabregat; Lourdes Araujo; Juan Martínez-Romo (Artif. Intell. Medicine, 2021)

UNED-NLP at eRisk 2022: Analyzing gambling disorders in Social Media using Approximate Nearest Neighbors. - Hermenegildo Fabregat; Andrés Duque; Lourdes Araujo; Juan Martínez-Romo (CLEF (Working Notes), 2022)

UNED at PoliticEs 2022: Testing Approximate Nearest Neighbors and Spanish Language Models for Author Profiling in Political Ideology. - Álvaro Rodrigo; Hermenegildo Fabregat; Roberto Centeno (IberLEF@SEPLN, 2022)

Learning Job Titles Similarity from Noisy Skill Labels. - Rabih Zbib; Lucas Lacasa Alvarez; Federico Retyk; Rus Poves; Juan Aizpuru; Hermenegildo Fabregat; Vaidotas Simkus; Emília Garcia Casademont (CoRR, 2022)

A Re-labeling Approach Based on Approximate Nearest Neighbors for Identifying Gambling Disorders in Social Media. - Hermenegildo Fabregat; Andrés Duque; Lourdes Araujo; Juan Martínez-Romo (CLEF, 2023)

NLP-UNED-2 at eRisk 2023: Detecting Pathological Gambling in Social Media through Dataset Relabeling and Neural Networks. - Hermenegildo Fabregat; Andrés Duque; Lourdes Araujo; Juan Martínez-Romo (CLEF (Working Notes), 2023)

Résumé Parsing as Hierarchical Sequence Labeling: An Empirical Study. - Federico Retyk; Hermenegildo Fabregat; Juan Aizpuru; Mariana Taglio; Rabih Zbib (HR@RecSys, 2023)

LSI_UNED at ClinAIS 2023: Transformer Models for Section Identification in Spanish Medical Reports. - Andrés Duque; Lourdes Araujo; Juan Martínez-Romo; Hermenegildo Fabregat (IberLEF@SEPLN, 2023)

NLP-UNED at MentalRiskES 2023: Approximate Nearest Neighbors for Identifying Health Disorders. - Hermenegildo Fabregat; Andrés Duque; Lourdes Araujo; Juan Martínez-Romo (IberLEF@SEPLN, 2023)

Normalisation of Education Information in Digitalised Recruitment Processes. - Laura García-Sardiña; Federico Retyk; Hermenegildo Fabregat; Lucas Lacasa Alvarez; Rus Poves; Rabih Zbib (Proces. del Leng. Natural, 2023)

Negation-based transfer learning for improving biomedical Named Entity Recognition and Relation Extraction. - Hermenegildo Fabregat; Andrés Duque; Juan Martínez-Romo; Lourdes Araujo (J. Biomed. Informatics, 2023)

NLP-UNED at eRisk 2024: Approximate Nearest Neighbors with Encoding Refinement for Early Detecting Signs of Anorexia. - Hermenegildo Fabregat; Daniel Deniz; Andrés Duque; Lourdes Araujo; Juan Martínez-Romo (CLEF (Working Notes), 2024)

Combined Unsupervised and Contrastive Learning for Multilingual Job Recommendation. - Daniel Deniz; Federico Retyk; Laura García-Sardiña; Hermenegildo Fabregat; Luis Gascó; Rabih Zbib (HR@RecSys, 2024)

UNED-GELP at MentalRiskES 2024: Transformer-Based Encoders and Similarity Techniques for Early Risk Prediction of Mental Disorders. - Jorge Fernandez-Hernandez; Hermenegildo Fabregat; Andrés Duque; Lourdes Araujo; Juan Martínez-Romo (IberLEF@SEPLN, 2024)

Intent Classification Methods for Human Resources Chatbots. - Lucas Lacasa Alvarez; Martín Dévora-Pajares; Rabih Zbib; Hermenegildo Fabregat (Proces. del Leng. Natural, 2024)

Inductive Graph Neural Network for Job-Skill Framework Analysis. - Hermenegildo Fabregat; Rus Poves; Lucas Lacasa Alvarez; Federico Retyk; Laura García-Sardiña; Rabih Zbib (Proces. del Leng. Natural, 2024)

Overview of the TalentCLEF 2025: Skill and Job Title Intelligence for Human Capital Management. - Luis Gascó; Hermenegildo Fabregat; Laura García-Sardiña; Paula Estrella; Daniel Deniz; Álvaro Rodrigo; Rabih Zbib (CLEF, 2025)

TalentCLEF at CLEF2025: Skill and Job Title Intelligence for Human Capital Management. - Luis Gascó; Hermenegildo Fabregat; Laura García-Sardiña; Daniel Deniz; Álvaro Rodrigo; Paula Estrella; Rabih Zbib (ECIR (5), 2025)