Named entity recognition in unstructured text.


Autoria(s): KERETNA, SARA
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

http://hdl.handle.net/10536/DRO/DU:30089371

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