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» Document Retrieval using a Probabilistic Knowledge Model
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WWW
2008
ACM
15 years 10 months ago
Unsupervised query segmentation using generative language models and wikipedia
In this paper, we propose a novel unsupervised approach to query segmentation, an important task in Web search. We use a generative query model to recover a query's underlyin...
Bin Tan, Fuchun Peng
177
Voted
ICDE
2006
IEEE
193views Database» more  ICDE 2006»
15 years 11 months ago
Probabilistic Message Passing in Peer Data Management Systems
Until recently, most data integration techniques involved central components, e.g., global schemas, to enable transparent access to heterogeneous databases. Today, however, with t...
Philippe Cudré-Mauroux, Karl Aberer, Andras...
ICDE
2002
IEEE
181views Database» more  ICDE 2002»
15 years 3 months ago
YFilter: Efficient and Scalable Filtering of XML Documents
Soon, much of the data exchanged over the Internet will be encoded in XML, allowing for sophisticated filtering and content-based routing. We have built a filtering engine called ...
Yanlei Diao, Peter M. Fischer, Michael J. Franklin...
CLEF
2010
Springer
14 years 10 months ago
Creating a Persian-English Comparable Corpus
Multilingual corpora are valuable resources for cross-language information retrieval and are available in many language pairs. However the Persian language does not have rich multi...
Homa Baradaran Hashemi, Azadeh Shakery, Heshaam Fe...
SIGIR
2003
ACM
15 years 3 months 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