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» Link-based Approaches for Text Retrieval
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SIGIR
2005
ACM
15 years 9 months ago
A Markov random field model for term dependencies
This paper develops a general, formal framework for modeling term dependencies via Markov random fields. The model allows for arbitrary text features to be incorporated as eviden...
Donald Metzler, W. Bruce Croft
186
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CIKM
2005
Springer
15 years 5 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
134
Voted
WWW
2005
ACM
16 years 4 months ago
The volume and evolution of web page templates
Web pages contain a combination of unique content and template material, which is present across multiple pages and used primarily for formatting, navigation, and branding. We stu...
David Gibson, Kunal Punera, Andrew Tomkins
150
Voted
IICS
2004
Springer
15 years 9 months ago
Towards Logical Hypertext Structure
Facing the retrieval problem according to the overwhelming set of documents online the adaptation of text categorization to web units has recently been pushed. The aim is to utiliz...
Alexander Mehler, Matthias Dehmer, Rüdiger Gl...
ACL
2006
15 years 5 months ago
Segment-Based Hidden Markov Models for Information Extraction
Hidden Markov models (HMMs) are powerful statistical models that have found successful applications in Information Extraction (IE). In current approaches to applying HMMs to IE, a...
Zhenmei Gu, Nick Cercone