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A Novel Technique for Name Identification from Homeopathy Diagnosis Discussion Forum

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


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
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