Matías Rojas

According to our database, Matías Rojas authored at least 18 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Validating a collaborative problem-solving assessment tool across educational stages.

Matías Rojas, Miguel Nussbaum, César Moreno

Comput. Educ., 2025

2024

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

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., December, 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

Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), 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

Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), 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

Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2023), 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

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

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

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

FLERT-Matcher: A Two-Step Approach for Clinical Named Entity Recognition and Normalization.

Matías Rojas, Jose Barros, Mauricio Araneda, Jocelyn Dunstan

Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2022) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2022), 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

Proceedings of The Seventh Workshop on Social Media Mining for Health Applications, 2022

Simple Yet Powerful: An Overlooked Architecture for Nested Named Entity Recognition.

Matías Rojas, Felipe Bravo-Marquez, Jocelyn Dunstan

Proceedings of the 29th International Conference on Computational Linguistics, 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

Proceedings of the 13th International Workshop on Health Text Mining and Information Analysis, 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

Proceedings of the 13th International Workshop on Health Text Mining and Information Analysis, 2022

A Knowledge-Graph-Based Intrinsic Test for Benchmarking Medical Concept Embeddings and Pretrained Language Models.

Claudio Aracena, Fabián Villena, Matías Rojas, Jocelyn Dunstan

Proceedings of the 13th International Workshop on Health Text Mining and Information Analysis, 2022

2021

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

2020

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

Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020

2013

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

Proceedings of the First Chilean Conference on Human, 2013