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Context Filters for Document-Based Information Filtering

Murthy, KRK and Keerthi, SS (1999) Context Filters for Document-Based Information Filtering. In: Fifth International Conference on Document Analysis and Recognition, 1999. ICDAR '99, 20-22 September, Bangalore,India, 709 -712.

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Abstract

In this paper we propose a keyphrase-sense disambiguation methodology called "context filters" for use in keyphrase based information filtering systems. A context filter finds whether an input keyphrase has occurred in the required context. Context filters consider various factors of ambiguity. Some of these factors are special to information filtering and they are handled in a structured fashion. The proposed context filters are very comprehensible. Context filters consider varieties of contexts which are not considered in existing word-sense disambiguation methods but these are all needed for information filtering. The ideas on context filters that we report form important elements of an Inscrutable Information Filtering Agent that we are developing.

Item Type: Conference Paper
Additional Information: Copyright 1990 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Department/Centre: Division of Electrical Sciences > Computer Science & Automation (Formerly, School of Automation)
Date Deposited: 06 Mar 2006
Last Modified: 19 Sep 2010 04:24
URI: http://eprints.iisc.ernet.in/id/eprint/5767

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