Named entity recognition in unstructured text.
Contribuinte(s) |
Creighton Douglas Lim, Chee Peng |
---|---|
Data(s) |
01/06/2016
|
Resumo |
The thesis introduces a set of machine learning techniques that enhance the extraction of Named Entities from informal and unstructured free text. |
Identificador | |
Idioma(s) |
eng |
Publicador |
Deakin University, Institute for Intelligent Systems Research and Innovation, GTP Research |
Relação |
http://dro.deakin.edu.au/eserv/DU:30089371/keretna-agreement-2016.pdf http://dro.deakin.edu.au/eserv/DU:30089371/keretna-namedentity-2016A.pdf |
Direitos |
The Author. All Rights Reserved |
Palavras-Chave | #Named Entity Recognition #Digital data #Medical records #text mining #Software development |
Tipo |
Thesis |