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This document discusses techniques for temporal and event tagging to analyze documents and extract events and their temporal relationships. It proposes applying summarization as a way to filter sentences and events. The approach uses three components: prior ranking of sentences, cosine similarity ranking, and a PageRank-like algorithm. It evaluates the approach on DUC2007 data and finds it significantly reduces the number of extracted events while maintaining sentence selection quality. However, the document also notes limitations in existing technology for temporal analysis across multiple documents.



























