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» Hierarchical summarization of large documents
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WWW
2009
ACM
14 years 10 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...
IDEAS
2008
IEEE
109views Database» more  IDEAS 2008»
14 years 4 months ago
EXsum: an XML summarization framework
1 We propose a new framework for the summarization of XML document properties called EXsum (Element-wise XML summarization), which can capture statistical information of all import...
José de Aguiar Moraes Filho, Theo Härd...
ECAI
2000
Springer
14 years 2 months ago
Enriching very large ontologies using the WWW
This paper explores the possibility to exploit text on the world wide web in order to enrich the concepts in existing ontologies. First, a method to retrieve documents from the WWW...
Eneko Agirre, Olatz Ansa, Eduard H. Hovy, David Ma...
ICTAI
2009
IEEE
14 years 4 months ago
Classifying Sentence-Based Summaries of Web Documents
Text classification categories Web documents in large collections into predefined classes based on their contents. Unfortunately, the classification process can be time-consumi...
Maria Soledad Pera, Yiu-Kai Ng
ECIR
2007
Springer
13 years 11 months ago
A Hierarchical Consensus Architecture for Robust Document Clustering
Abstract. A major problem encountered by text clustering practitioners is the difficulty of determining a priori which is the optimal text representation and clustering technique f...
Xavier Sevillano, Germán Cobo, Francesc Al&...