Title
Text summarization model based on the budgeted median problem
Abstract
We propose a multi-document generic summarization model based on the budgeted median problem. Our model selects sentences to generate a summary so that every sentence in the document cluster can be assigned to and be represented by a sentence in the summary as much as possible. The advantage of this model is that it covers the entire relevant part of the document cluster through sentence assignment and can incorporate asymmetric relations between sentences such as textual entailment.
Year
DOI
Venue
2009
10.1145/1645953.1646179
CIKM
Keywords
Field
DocType
asymmetric relation,sentence assignment,entire relevant part,document cluster,textual entailment,multi-document generic summarization model,median problem,text summarization model,document clustering,model selection,text summarization
Automatic summarization,Multi-document summarization,Textual entailment,Information retrieval,Computer science,Artificial intelligence,Natural language processing,Sentence
Conference
Citations 
PageRank 
References 
21
0.81
8
Authors
2
Name
Order
Citations
PageRank
Hiroya Takamura152964.23
Manabu Okumura2830114.41