WASET
	%0 Journal Article
	%A A. Kowcika and  E. Umamaheswari and  T.V. Geetha
	%D 2012
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 72, 2012
	%T Event Template Generation for News Articles
	%U https://publications.waset.org/pdf/13701
	%V 72
	%X In this paper we focus on event extraction from Tamil
news article. This system utilizes a scoring scheme for extracting and
grouping event-specific sentences. Using this scoring scheme eventspecific
clustering is performed for multiple documents. Events are
extracted from each document using a scoring scheme based on
feature score and condition score. Similarly event specific sentences
are clustered from multiple documents using this scoring scheme.
The proposed system builds the Event Template based on user
specified query. The templates are filled with event specific details
like person, location and timeline extracted from the formed clusters.
The proposed system applies these methodologies for Tamil news
articles that have been enconverted into UNL graphs using a Tamil to
UNL-enconverter. The main intention of this work is to generate an
event based template.
	%P 1769 - 1771