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NAACL
2010
8 years 7 months ago
Quantifying the Limits and Success of Extractive Summarization Systems Across Domains
This paper analyzes the topic identification stage of single-document automatic text summarization across four different domains, consisting of newswire, literary, scientific and ...
Hakan Ceylan, Rada Mihalcea, Umut O'zertem, Elena ...
IPM
2007
123views more  IPM 2007»
8 years 9 months ago
Generating gene summaries from biomedical literature: A study of semi-structured summarization
Most knowledge accumulated through scientiļ¬c discoveries in genomics and related biomedical disciplines is buried in the vast amount of biomedical literature. Since understandin...
Xu Ling, Jing Jiang, Xin He, Qiaozhu Mei, Chengxia...
ACL
1998
8 years 10 months ago
Automatic Text Summarization Based on the Global Document Annotation
The GDA (Global Document Annotation) project proposes a tag set which allows machines to automatically infer the underlying semantic/pragmatic structure of documents. Its objectiv...
Katashi Nagao, Kôiti Hasida
DNIS
2005
Springer
102views Database» more  DNIS 2005»
9 years 2 months ago
An Improved Approach to Extract Document Summaries Based on Popularity
With the rapid growth of the Internet, most of the textual data in the form of newspapers, magazines and journals tend to be available on-line. Summarizing these texts can aid the...
P. Arun Kumar, K. Praveen Kumar, T. Someswara Rao,...
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