An Investigation Into the Detection of New Information

Abstract

This paper explores new-information detection, describing a strategy for filtering a stream of documents to present only information that is fresh. We focus on multi-document summarization and seek to efficiently use more linguistic information than is often seen in such systems. We experimented with our linguistic system and with a more traditional sentence-based, vector-space system and found that a combination of the two approaches boosted performance over each one alone