tech,2-1-P06-3007,ak We investigate <term> independent and relevant event-based extractive mutli-document summarization approaches </term> .
other,4-2-P06-3007,ak In this paper , <term> events </term> are defined as <term> event terms </term> and associated <term> event elements </term> .
other,8-2-P06-3007,ak In this paper , <term> events </term> are defined as <term> event terms </term> and associated <term> event elements </term> .
other,12-2-P06-3007,ak In this paper , <term> events </term> are defined as <term> event terms </term> and associated <term> event elements </term> .
tech,1-3-P06-3007,ak With <term> independent approach </term> , we identify important contents by frequency of <term> events </term> .
other,11-3-P06-3007,ak With <term> independent approach </term> , we identify important contents by frequency of <term> events </term> .
tech,1-4-P06-3007,ak With <term> relevant approach </term> , we identify important contents by <term> PageRank algorithm </term> on the <term> event map </term> constructed from documents .
tech,9-4-P06-3007,ak With <term> relevant approach </term> , we identify important contents by <term> PageRank algorithm </term> on the <term> event map </term> constructed from documents .
model,13-4-P06-3007,ak With <term> relevant approach </term> , we identify important contents by <term> PageRank algorithm </term> on the <term> event map </term> constructed from documents .
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