The Chilean Waiting List Corpus: a new resource for clinical Named Entity Recognition in Spanish. - Pablo Báez; Fabián Villena; Matías Rojas; Manuel Durán; Jocelyn Dunstan (ClinicalNLP@EMNLP, 2020)

On the Construction of Multilingual Corpora for Clinical Text Mining. - Fabián Villena; Urs Eisenmann; Petra Knaup; Jocelyn Dunstan; Matthias Ganzinger (MIE, 2020)

Predicting nationwide obesity from food sales using machine learning. - Jocelyn Dunstan; Marcela Aguirre; Magdalena Bastías; Claudia Nau; Thomas A. Glass; Felipe A. Tobar (Health Informatics J., 2020)

Mathematical Model for Estimating Nutritional Status of the Population with Poor Data Quality in Developing Countries: The Case of Chile. - Denisse Ávalos; Cristóbal Cuadrado; Jocelyn Dunstan; Javier Moraga; Luis Rojo-González; Nelson Troncoso; Óscar C. Vásquez 001 (ICORES, 2021)

Supporting the classification of patients in public hospitals in Chile by designing, deploying and validating a system based on natural language processing. - Jocelyn Dunstan; Fabián Villena; Jorge Pérez 001; René Lagos (BMC Medical Informatics Decis. Mak., 2021)

Correction to: Supporting the classification of patients in public hospitals in Chile by designing, deploying and validating a system based on natural language processing. - Fabián Villena; Jorge Pérez 001; René Lagos; Jocelyn Dunstan (BMC Medical Informatics Decis. Mak., 2021)

Data Science for Engineers: A Teaching Ecosystem. - Felipe A. Tobar; Felipe Bravo-Marquez; Jocelyn Dunstan; Joaquín Fontbona; Alejandro Maass; Daniel Remenik; Jorge F. Silva (IEEE Signal Process. Mag., 2021)

A Knowledge-Graph-Based Intrinsic Test for Benchmarking Medical Concept Embeddings and Pretrained Language Models. - Claudio Aracena; Fabián Villena; Matías Rojas; Jocelyn Dunstan (LOUHI@EMNLP, 2022)

Divide and Conquer: An Extreme Multi-Label Classification Approach for Coding Diseases and Procedures in Spanish. - Jose Barros; Matías Rojas; Jocelyn Dunstan; Andrés Abeliuk (LOUHI@EMNLP, 2022)

Assessing the Limits of Straightforward Models for Nested Named Entity Recognition in Spanish Clinical Narratives. - Matías Rojas; Casimiro Pio Carrino; Aitor Gonzalez-Agirre; Jocelyn Dunstan; Marta Villegas (LOUHI@EMNLP, 2022)

Simple Yet Powerful: An Overlooked Architecture for Nested Named Entity Recognition. - Matías Rojas; Felipe Bravo-Marquez; Jocelyn Dunstan (COLING, 2022)

PLN CMM at SocialDisNER: Improving Detection of Disease Mentions in Tweets by Using Document-Level Features. - Matías Rojas; Jose Barros; Kinan Martin; Mauricio Araneda-Hernandez; Jocelyn Dunstan (SMM4H@COLING, 2022)

FLERT-Matcher: A Two-Step Approach for Clinical Named Entity Recognition and Normalization. - Matías Rojas; Jose Barros; Mauricio Araneda; Jocelyn Dunstan (IberLEF@SEPLN, 2022)

Training and intrinsic evaluation of lightweight word embeddings for the clinical domain in Spanish. - Carolina Chiu; Fabián Villena; Kinan Martin; Fredy Núñez; Cecilia Besa; Jocelyn Dunstan (Frontiers Artif. Intell., 2022)

Automatic Extraction of Nested Entities in Clinical Referrals in Spanish. - Pablo Báez; Felipe Bravo-Marquez; Jocelyn Dunstan; Matías Rojas; Fabián Villena (ACM Trans. Comput. Heal., 2022)

Pre-trained language models in Spanish for health insurance coverage. - Claudio Aracena; Nicolás Rodríguez; Victor Rocco; Jocelyn Dunstan (ClinicalNLP@ACL, 2023)

Automatic Coding at Scale: Design and Deployment of a Nationwide System for Normalizing Referrals in the Chilean Public Healthcare System. - Fabián Villena; Matías Rojas; Felipe Arias; Jorge Pacheco; Paulina Vera; Jocelyn Dunstan (ClinicalNLP@ACL, 2023)

Development of pre-trained language models for clinical NLP in Spanish. - Claudio Aracena; Jocelyn Dunstan (EACL (Student Research Workshop), 2023)

Automatic Section Classification in Spanish Clinical Narratives Using Chunked Named Entity Recognition. - Andrés Carvallo; Matías Rojas; Carlos Muñoz-Castro; Claudio Aracena; Rodrigo Guerra; Benjamín Pizarro; Jocelyn Dunstan (IberLEF@SEPLN, 2023)

CMM PLN at MentalRiskES: A Traditional Machine Learning Approach for Detection of Eating Disorders and Depression in Chat Messages. - Rodrigo Guerra; Benjamín Pizarro; Carlos Muñoz-Castro; Andrés Carvallo; Matías Rojas; Claudio Aracena; Jocelyn Dunstan (IberLEF@SEPLN, 2023)

LinkMed: Entity Recognition and Relation Extraction from Clinical Notes in Spanish. - Carlos Muñoz-Castro; Andrés Carvallo; Matías Rojas; Claudio Aracena; Rodrigo Guerra; Benjamín Pizarro; Jocelyn Dunstan (IberLEF@SEPLN, 2023)

Physics-informed neural networks for blood flow inverse problems. - Jeremias Garay; Jocelyn Dunstan; Sergio Uribe; Francisco Sahli Costabal (CoRR, 2023)

A Privacy-Preserving Corpus for Occupational Health in Spanish: Evaluation for NER and Classification Tasks. - Claudio Aracena; Luis Miranda; Thomas Vakili; Fabián Villena; Tamara Quiroga; Fredy Núñez-Torres; Victor Rocco; Jocelyn Dunstan (ClinicalNLP@NAACL, 2024)

Automatic Knowledge-Graph Creation from Historical Documents: The Chilean Dictatorship as a Case Study. - Camila Díaz; Jocelyn Dunstan; Lorena Etcheverry; Antonia Fonck; Alejandro Grez; Domingo Mery; Juan L. Reutter; Hugo Rojas Corral (KBC-LM/LM-KBC@ISWC, 2024)

CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark. - David Romero; Chenyang Lyu; Haryo Akbarianto Wibowo; Santiago Góngora; Aishik Mandal; Sukannya Purkayastha; Jesús-Germán Ortiz-Barajas; Emilio Villa-Cueva; Jinheon Baek; Soyeong Jeong; Injy Hamed; Zheng Xin Yong; et al. (NeurIPS, 2024)

Physics-informed neural networks for parameter estimation in blood flow models. - Jeremias Garay; Jocelyn Dunstan; Sergio Uribe; Francisco Sahli Costabal (Comput. Biol. Medicine, 2024)

CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark. - David Romero; Chenyang Lyu; Haryo Akbarianto Wibowo; Teresa Lynn; Injy Hamed; Aditya Nanda Kishore; Aishik Mandal; Alina Dragonetti; Artem Abzaliev; Atnafu Lambebo Tonja; Bontu Fufa Balcha; Chenxi Whitehouse; et al. (CoRR, 2024)

Speed Limit Reduction Enhances Urban Worker Safety: Evidence from a Decade of Traffic Incidents in Santiago, Chile. - Eduardo Graells-Garrido; Matías Toro; Gabriel Mansilla; Matías Nicolai; Santiago Mansilla; Jocelyn Dunstan (CoRR, 2024)

The problem of estimation and forecasting of obesity prevalence using sparsely collected data. - Luis Rojo-González; Jocelyn Dunstan; Cristóbal Cuadrado; Denisse Ávalos; Javier Moraga-Correa; Nelson Troncoso; Óscar C. Vásquez 001 (Eng. Appl. Artif. Intell., 2024)

A pseudonymized corpus of occupational health narratives for clinical entity recognition in Spanish. - Jocelyn Dunstan; Thomas Vakili; Luis Miranda; Fabián Villena; Claudio Aracena; Tamara Quiroga; Paulina Vera; Sebastián Viteri Valenzuela; Victor Rocco (BMC Medical Informatics Decis. Mak., 2024)

Clinical Analogy Resolution Performance for Foundation Language Models. - Fabián Villena; Tamara Quiroga; Jocelyn Dunstan (ACM Trans. Comput. Heal., 2025)

Entity normalization in a Spanish medical corpus using a UMLS-based lexicon: findings and limitations. - Pablo Báez; Leonardo Campillos-Llanos; Fredy Núñez; Jocelyn Dunstan (Lang. Resour. Evaluation, 2025)

NLP modeling recommendations for restricted data availability in clinical settings. - Fabián Villena; Felipe Bravo-Marquez; Jocelyn Dunstan (BMC Medical Informatics Decis. Mak., 2025)