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» A generative retrieval model for structured documents
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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...
ACMICEC
2006
ACM
141views ECommerce» more  ACMICEC 2006»
14 years 1 months ago
From HTML documents to web tables and rules
We present a browser-extending Semantic Web extraction system that maps HTML documents to tables and, where possible, to rules. First, the basic data extractor ViPER distills and ...
Kai Simon, Georg Lausen, Harold Boley
AMW
2010
13 years 9 months ago
Generating XML/GML Schemas from Geographic Conceptual Schemas
Abstract. A large volume of data with complex structures is currently represented in GML (Geography Markup Language) for storing and exchanging geographic information. As the size ...
André C. Hora, Clodoveu A. Davis Jr., Mirel...
ACL
2010
13 years 5 months ago
A Hybrid Hierarchical Model for Multi-Document Summarization
Scoring sentences in documents given abstract summaries created by humans is important in extractive multi-document summarization. In this paper, we formulate extractive summariza...
Asli Çelikyilmaz, Dilek Hakkani-Tur
EMMCVPR
2007
Springer
14 years 1 months ago
Decomposing Document Images by Heuristic Search
Abstract. Document decomposition is a basic but crucial step for many document related applications. This paper proposes a novel approach to decompose document images into zones. I...
Dashan Gao, Yizhou Wang