Natural Language Processing Group at Center for Mathematical Modeling - University of Chile.
We are a transdisciplinary group of researchers working on the creation of a clinical text mining unit in Chile. Currently, we are creating the first annotated clinical corpus using Chilean narratives, and we have worked on a variety of NLP projects. Group members belong to the Center for Mathematical Modeling (CMM) and/or the Center for Medical Informatics and Telemedicine (CIMT).
Jocelyn Dunstan | Fabián Villena | Pablo Báez | Matías Rojas | Fredy Núñez Torres | ||||
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PhD in Applied Maths | Master in Medical Informatics | PhD in Biomedical Sciences | Master in Computer Science | PhD in Linguistics | ||||
Claudio Aracena | Ricardo Ahumada | José Barros | Rodrigo Guerra | Felipe Arias |
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PhD in engineering systems | Master in Medical Informatics | Master of Data Science | Master of Data Science | Master of Data Science |
In this section you can find annotated corpora, word embeddings, pretrained models, talks and teaching resources.
Natural language processing for clinical text in Spanish: The case of waiting lists in Chile, 2022
Clinical flair: A pre-trained language model for Spanish clinical natural language processing, 2022
Simple yet powerful: An overlooked architecture for nested named entity recognition, 2022
Flert-matcher: A two-step approach for clinical named entity recognition and normalization, 2022
Automatic Support System for Tumor Coding in Pathology Reports in Spanish, 2022
Automatic Extraction of Nested Entities in Clinical Referrals in Spanish, 2022
The incidence of psoriasis in Chile: an analysis of the National Waiting List Repository, 2021
On the construction of Multilingual Corpora for Text Mining. Stud Health Technol Inform, 2020
Full list of publications of Jocelyn Dunstan, Fabián Villena and Pablo Báez.