Abstract
This paper proposes Natural language based Discourse Analysis method used for extracting information from the news article of different domain. The Discourse analysis used the Rhetorical Structure theory which is used to find coherent group of text which are most prominent for extracting information from text. RST theory used the Nucleus-Satellite concept for finding most prominent text from the text document. After Discourse analysis the text analysis has been done for extracting domain related object and relates this object. For extracting the information knowledge based system has been used which consist of domain dictionary .The domain dictionary has a bag of words for domain. The system is evaluated according gold-of-art analysis and human decision for extracted information.
Cite
CITATION STYLE
Rahangdale, A., & A.J, A. (2014). Information Extraction Using Discourse Analysis from Newswires. International Journal of Information Technology Convergence and Services, 4(3), 21–30. https://doi.org/10.5121/ijitcs.2014.4302
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