Article thumbnail

A Novel Technique for Name Identification from Homeopathy Diagnosis Discussion Forum

By Mukta Majumder, Utsav Barman, Rahul Prasad, Kumar Saurabh and Sujan Kumar Saha

Abstract

AbstractNamed entities are the most informative element of a textual document and identification of the names is very much important for extracting further information from text. We have developed a conditional random field based system to identify the named entities from homeopathic diagnosis discussion forum text. We have manually annotated a training corpus for the task. As manual creation of a sufficiently large annotated corpus is costly and time consuming, we use an active learning based semi-supervised framework to increase the efficiency of the system with the help of un-annotated data. Our system achieves the highest f-value of 84.35

Publisher: Published by Elsevier Ltd.
Year: 2012
DOI identifier: 10.1016/j.protcy.2012.10.045
OAI identifier:
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • https://s3.amazonaws.com/prod-... (external link)
  • https://s3-eu-west-1.amazonaws... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.