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» The Decomposition of Human-Written Summary Sentences
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SIGIR
1999
ACM
13 years 9 months ago
The Decomposition of Human-Written Summary Sentences
We define the problem of decomposing human-written summary sentences and propose a novel Hidden Markov Model solution to the problem. Human summarizers often rely on cutting and ...
Hongyan Jing, Kathleen McKeown
RIAO
2007
13 years 6 months ago
Capturing Sentence Prior for Query-Based Multi-Document Summarization
In this paper, we have considered a real world information synthesis task, generation of a fixed length multi document summary which satisfies a specific information need. This...
Jagadeesh Jagarlamudi, Prasad Pingali, Vasudeva Va...
ICDM
2008
IEEE
172views Data Mining» more  ICDM 2008»
13 years 11 months ago
Latent Dirichlet Allocation and Singular Value Decomposition Based Multi-document Summarization
Multi-Document Summarization deals with computing a summary for a set of related articles such that they give the user a general view about the events. One of the objectives is th...
Rachit Arora, Balaraman Ravindran
ANLP
2000
107views more  ANLP 2000»
13 years 6 months ago
Cut and Paste Based Text Summarization
We present a cut and paste based text summarizer, which uses operations derived from an analhuman written abstracts. The summarizer edits extracted sentences, using reduction to r...
Hongyan Jing, Kathleen McKeown
IPM
2007
113views more  IPM 2007»
13 years 4 months ago
Two uses of anaphora resolution in summarization
We propose a new method for using anaphoric information in Latent Semantic Analysis (lsa), and discuss its application to develop an lsa-based summarizer which achieves a signifi...
Josef Steinberger, Massimo Poesio, Mijail Alexandr...