Prototype design and evaluation of a computer supported system for multidiscipline meetings in a primary healthcare center. - Cecilia Saint-Pierre; Esteban Piñones; Matías Rojas; Valeria Herskovic (ChileCHI, 2013)

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)

Assessing collaborative problem-solving skills among elementary school students. - Matías Rojas; Miguel Nussbaum; Pablo Chiuminatto; Orlando Guerrero; Samuel Greiff; Florian Krieger; Lindie Van Der Westhuizen (Comput. Educ., 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)

Integrating a collaboration script and group awareness to support group regulation and emotions towards collaborative problem solving. - Matías Rojas; Miguel Nussbaum; Orlando Guerrero; Pablo Chiuminatto; Samuel Greiff; Rodrigo Del Rio; Danilo Alvares (Int. J. Comput. Support. Collab. Learn., 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)

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)

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)

Using Automated Planning to Provide Feedback during Collaborative Problem-Solving. - Matías Rojas; Cristian Sáez; Jorge A. Baier; Miguel Nussbaum; Orlando Guerrero; María Fernanda Rodriguez (Int. J. Artif. Intell. Educ., 2023)

Digital twin with automatic disturbance detection for real-time optimization of a semi-autogenous grinding (SAG) mill. - Paulina Quintanilla; Francisco Fernández; Cristobal Mancilla; Matías Rojas; Mauricio Estrada; Daniel Navia (CoRR, 2024)

Validating a collaborative problem-solving assessment tool across educational stages. - Matías Rojas; Miguel Nussbaum; César Moreno (Comput. Educ., 2025)

Digital twin with automatic disturbance detection for an expert-controlled SAG mill. - Paulina Quintanilla; Francisco Fernández; Cristobal Mancilla; Matías Rojas; Daniel Navia (CoRR, 2025)