Paper Info
Title
Sentence reduction for automatic text summarization
Abstract
We present a novel sentence reduction system for automatically removing extraneous phrases from sentences that are extracted from a document for summarization purpose. The system uses multiple sources of knowledge to decide which phrases in an extracted sentence can be removed, including syntactic knowledge, context information, and statistics computed from a corpus which consists of examples written by human professionals. Reduction can significantly improve the conciseness of automatic summaries.
Year
DOI
Venue
2000
10.3115/974147.974190
ANLP
Keywords
Field
DocType
automatic text summarization,human professional,novel sentence reduction system,context information,automatic summary,summarization purpose,syntactic knowledge,multiple source,extraneous phrase,statistical computing
Automatic summarization,Multi-document summarization,Information retrieval,Computer science,Natural language processing,Artificial intelligence,Sentence,Syntax
Conference
Citations 
PageRank 
References 
107
6.85
6
Authors
1
Search Limit
100107
Name
Order
Citations
PageRank
Hongyan Jing11524112.18