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WWW
2009
ACM
14 years 8 months ago
Enhancing diversity, coverage and balance for summarization through structure learning
Document summarization plays an increasingly important role with the exponential growth of documents on the Web. Many supervised and unsupervised approaches have been proposed to ...
Liangda Li, Ke Zhou, Gui-Rong Xue, Hongyuan Zha, Y...
SIGIR
2004
ACM
14 years 1 months ago
Document clustering via adaptive subspace iteration
Document clustering has long been an important problem in information retrieval. In this paper, we present a new clustering algorithm ASI1, which uses explicitly modeling of the s...
Tao Li, Sheng Ma, Mitsunori Ogihara
CIKM
2005
Springer
13 years 9 months ago
Fast on-line index construction by geometric partitioning
Inverted index structures are the mainstay of modern text retrieval systems. They can be constructed quickly using off-line mergebased methods, and provide efficient support for ...
Nicholas Lester, Alistair Moffat, Justin Zobel
CN
1999
143views more  CN 1999»
13 years 7 months ago
Embedding Knowledge in Web Documents
The paper argues for the use of general and intuitive knowledge representation languages (and simpler notational variants, e.g. subsets of natural languages) for indexing the cont...
Philippe Martin, Peter W. Eklund
SIGIR
2003
ACM
14 years 29 days ago
Fractal summarization: summarization based on fractal theory
In this paper, we introduce the fractal summarization model based on the fractal theory. In fractal summarization, the important information is captured from the source text by ex...
Christopher C. Yang, Fu Lee Wang