Abstract | ||
---|---|---|
In this paper, we describe our method to generate summary from multiple news articles. Since most of news articles report several events and these events are refereed with following articles, we use this event reference information to calculate importance of a sentence in multiple news articles. We also propose a method to delete redundant description by using sim- ilarity of events. Finally we discuss its effectiveness based on the evaluation result. |
Year | Venue | Field |
---|---|---|
2004 | NTCIR | Automatic summarization,Information retrieval,Computer science,Sentence |
DocType | Citations | PageRank |
Conference | 11 | 1.04 |
References | Authors | |
4 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Masaharu Yoshioka | 1 | 368 | 41.40 |
Makoto Haraguchi | 2 | 173 | 32.53 |