Paper Info
Title
Sentence ordering with manifold-based classification in multi-document summarization
Abstract
In this paper, we propose a sentence ordering algorithm using a semi-supervised sentence classification and historical ordering strategy. The classification is based on the manifold structure underlying sentences, addressing the problem of limited labeled data. The historical ordering helps to ensure topic continuity and avoid topic bias. Experiments demonstrate that the method is effective.
Year
Venue
Keywords
2006
EMNLP
topic continuity,manifold-based classification,multi-document summarization,manifold structure,semi-supervised sentence classification,topic bias,multi document summarization
Field
DocType
Volume
Manifold structure,Multi-document summarization,Automatic summarization,Information retrieval,Computer science,Artificial intelligence,Natural language processing,Labeled data,Sentence,Manifold
Conference
W06-16
ISBN
Citations 
PageRank 
1-932432-73-6
10
0.55
References 
Authors
8
2
Name
Order
Citations
PageRank
Paul D. Ji1100.88
Stephen Pulman245038.31