Multilingual NLP

Brief Overview of TalentCLEF 2025
This paper presents a condensed overview of TalentCLEF 2025, the first community evaluation initiative focused on job and skill …
Luis Gasco, Hermenegildo Gabregat, Laura García-Sardiña, Daniel Deniz, Álvaro Rodrigo, Paula Estrella, Rabih Zbib
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Overview of the TalentCLEF 2025: Skill and Job Title Intelligence for Human Capital Management
Advances in natural language processing and large language models are driving a major transformation in Human Capital Management, with …
Luis Gasco, Hermenegildo Gabregat, Laura García-Sardiña, Daniel Deniz, Álvaro Rodrigo, Paula Estrella, Rabih Zbib
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A textual dataset of de-identified health records in Spanish and Catalan for medical entity recognition and anonymization
The advancement of clinical natural language processing systems is crucial to exploit the wealth of textual data contained in medical …
Salvador Lima-López, Eulàlia Farré-Maduell, Luis Gasco, Jan Rodríguez-Miret, Santiago Frid, Xavier Pastor, Xavier Borrat, Martin Krallinger
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TalentCLEF at CLEF2025: Skill and Job Title Intelligence for Human Capital Management
TalentCLEF introduces an innovative evaluation lab designed to foster the development of Natural Language Processing systems in the …
Luis Gasco, Hermenegildo Gabregat, Laura García-Sardiña, Daniel Deniz, Álvaro Rodrigo, Paula Estrella, Rabih Zbib
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Combined Unsupervised and Contrastive Learning for Multilingual Job Recommendation
The transformative power of artificial intelligence is revolutionizing the talent acquisition domain. Automatic job recommendation …
Daniel Deniz, Federico Retyk, Laura García-Sardiña, Hermenegildo Fabregat, Luis Gasco, Rabih Zbib
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MELO: An Evaluation Benchmark for Multilingual Entity Linking of Occupations
We present the Multilingual Entity Linking of Occupations (MELO) Benchmark, a new collection of 48 datasets for evaluating the linking …
Federico Retyk, Luis Gasco, Casimiro Pio Carrino, Daniel Deniz, Rabih Zbib
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Overview of SympTEMIST at BioCreative VIII: corpus, guidelines and evaluation of systems for the detection and normalization of symptoms, signs and findings from text
Recent advances in NLP techniques, the use of large language models and Transformers are showing promising results for processing …
Salvador Lima-López, Eulàlia Farré-Maduell, Luis Gasco, Jan Rodríguez-Miret, Martin Krallinger
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MEDDOPLACE Shared Task overview: recognition, normalization and classification of locations and patient movement in clinical texts
We present the MEDDOPLACE task, the first initiative addressing the automatic detection and normalization of all location-relevant …
Salvador Lima-López, Eulàlia Farré-Maduell, Vicent Briva-Iglesias, Luis Gasco, Martin Krallinger
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Overview of MedProcNER task on medical procedure detection and entity linking at BioASQ 2023
Recent advances in NLP techniques, the use of large language models and Transformers are showing promising results for processing …
Salvador Lima-López, Eulàlia Farré-Maduell, Luis Gasco, Anastasios Nentidis, Anastasia Krithara, Georgios Katsimpras, Georgios Paliouras, Martin Krallinger
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Overview of SympTEMIST at BioCreative VIII: corpus, guidelines and evaluation of systems for the detection and normalization of symptoms, signs and findings from text
Systems capable of detecting and normalizing symptom mentions from clinical texts are crucial for healthcare data mining, AI applied to …
Salvador Lima-López, Eulàlia Farré-Maduell, Luis Gasco, Jan Rodríguez-Miret, Martin Krallinger
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