tech,7-1-P06-3007,bq and relevant event-based extractive <term> mutli-document summarization approaches </term> . In this paper , <term> events </term>
other,4-2-P06-3007,bq approaches </term> . In this paper , <term> events </term> are defined as <term> event terms </term>
other,8-2-P06-3007,bq , <term> events </term> are defined as <term> event terms </term> and <term> associated event elements
other,11-2-P06-3007,bq defined as <term> event terms </term> and <term> associated event elements </term> . With independent approach , we
other,7-3-P06-3007,bq independent approach , we identify important <term> contents </term> by frequency of <term> events </term>
other,11-3-P06-3007,bq <term> contents </term> by frequency of <term> events </term> . With relevant approach , we identify
tech,9-4-P06-3007,bq we identify important contents by <term> PageRank algorithm </term> on the <term> event map </term> constructed
other,13-4-P06-3007,bq <term> PageRank algorithm </term> on the <term> event map </term> constructed from <term> documents </term>
other,17-4-P06-3007,bq <term> event map </term> constructed from <term> documents </term> . Experimental results are encouraging
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