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97
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CIKM
2005
Springer
15 years 6 months ago
Learning to summarise XML documents using content and structure
Documents formatted in eXtensible Markup Language (XML) are becoming increasingly available in collections of various document types. In this paper, we present an approach for the...
Massih-Reza Amini, Anastasios Tombros, Nicolas Usu...
WWW
2009
ACM
16 years 1 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...
98
Voted
WWW
2004
ACM
16 years 1 months ago
Unsupervised learning of soft patterns for generating definitions from online news
Breaking news often contains timely definitions and descriptions of current terms, organizations and personalities. We utilize such web sources to construct definitions for such t...
Hang Cui, Min-Yen Kan, Tat-Seng Chua
122
Voted
IJCAI
2003
15 years 2 months ago
Hierarchical Hidden Markov Models for Information Extraction
Information extraction can be defined as the task of automatically extracting instances of specified classes or relations from text. We consider the case of using machine learni...
Marios Skounakis, Mark Craven, Soumya Ray
119
Voted
ISIPTA
2005
IEEE
137views Mathematics» more  ISIPTA 2005»
15 years 6 months ago
Basing Probabilistic Logic on Gambles
This article presents a probabilistic logic whose sentences can be interpreted as asserting the acceptability of gambles described in terms of an underlying logic. This probabilis...
Peter R. Gillett, Richard B. Scherl, Glenn Shafer