Supervised Learning and Knowledge-Based Approaches Applied to Biomedical Word Sense Disambiguation

Word sense disambiguation (WSD) is an important step in biomedical text mining, which is responsible for assigning an unequivocal concept to an ambiguous term, improving the accuracy of biomedical information extraction systems. In this work we followed supervised and knowledge-based disambiguation...

Descripción completa

Detalles Bibliográficos
Autores principales: Antunes, Rui, Matos, Sérgio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: De Gruyter 2017
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6042812/
https://www.ncbi.nlm.nih.gov/pubmed/29236676
http://dx.doi.org/10.1515/jib-2017-0051

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6042812/
https://www.ncbi.nlm.nih.gov/pubmed/29236676
http://dx.doi.org/10.1515/jib-2017-0051

Ejemplares similares