Dependence of Binary Associations on Co-occurrence Granularity in News Documents

TitleDependence of Binary Associations on Co-occurrence Granularity in News Documents
Publication TypeConference Paper
Year of Publication2008
AuthorsKrishnaprasad Thirunarayan, Trivikram Immaneni, Mastan Vali Shaik
Conference NameIKE 2008
Conference Location New York, USA
Abstract

We describe and formalize an approach to correlate binary associations (such as between entities and events, between persons and events, etc.) implied by News documents on the co-occurrence granularity (such as document-level, paragraph-level, sentence-level, etc.) of the corresponding text phrases in the documents. Specifically, we present both qualitative and quantitative characterization of searching News documents: former in terms of the nature of the content and the queries, and latter in terms of a metric obtained by adapting the notions of precision and recall. Specifically, the approach tries to reduce the manual effort required to analyze the News documents to compare the three alternatives for granularity of co-occurrence. Furthermore, the analysis suggests ways to improve retrieval performance as illustrated by applying our findings to News documents for the year 2005.

Full Text

Krishnaprasad Thirunarayan, Trivikram Immaneni, Mastan Vali Shaik. Dependence of Binary Associations on Co-occurrence Granularity in News Documents. In Proceedings of IKE'2008. pp.193-198
"hasEditor" : "Hamid R. Arabnia"
"hasBookTitle" : "Proceedings of the 2008 International Conference on Information & Knowledge Engineering"

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