Search Results for author: Jocelyn Dunstan

Found 5 papers, 3 papers with code

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

1 code implementation COLING 2022 Matias Rojas, Felipe Bravo-Marquez, Jocelyn Dunstan

Named Entity Recognition (NER) is an important task in Natural Language Processing that aims to identify text spans belonging to predefined categories.

named-entity-recognition NER +1

Clinical Flair: A Pre-Trained Language Model for Spanish Clinical Natural Language Processing

1 code implementation NAACL (ClinicalNLP) 2022 Matías Rojas, Jocelyn Dunstan, Fabián Villena

To validate the quality of the contextual representations retrieved from our model, we tested them on four named entity recognition datasets belonging to the clinical and biomedical domains.

Language Modelling named-entity-recognition +2

The Chilean Waiting List Corpus: a new resource for clinical Named Entity Recognition in Spanish

no code implementations EMNLP (ClinicalNLP) 2020 Pablo Báez, Fabián Villena, Matías Rojas, Manuel Durán, Jocelyn Dunstan

The best results were achieved by using a biLSTM-CRF architecture using word embeddings trained over Spanish Wikipedia together with clinical embeddings computed by the group.

named-entity-recognition NER +1

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