Knowledge portals and the emerging digital knowledge workplace
IBM Systems Journal
Using syntactic information to extract relevant terms for multi-document summarization
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
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ASHRAM is a novel client-server system based on Java and JavaScript for representing and automatically selecting, marking, and linking useful and/or salient items in a document, to make it easier for the user to determine the main points in a document or navigate through documents. The system executes summarization by sentence extraction and provides a user interface for representation that allows the user to exploit the summary not only as an aid for relevance assessment of documents, but as an active aid to document navigation. It uses Natural Language Processing technology and corpus-based NLP techniques in the foreground and databases constructed using NLP technology in the background.