Affordable Access

Publisher Website

A Novel Technique for Name Identification from Homeopathy Diagnosis Discussion Forum

Authors
Journal
Procedia Technology
2212-0173
Publisher
Elsevier
Volume
6
Identifiers
DOI: 10.1016/j.protcy.2012.10.045
Keywords
  • Named Entity Recognition
  • Homeopathic Diagnosis
  • Automatic Diagnosis System
  • Conditional Random Field
  • Semi-Supervised Learning
  • Active Learning
Disciplines
  • Medicine

Abstract

Abstract Named 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.

There are no comments yet on this publication. Be the first to share your thoughts.