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» Using Information Extraction to Improve Document Retrieval
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AI
2003
Springer
15 years 12 months ago
Case Authoring from Text and Historical Experiences
The problem of repair and maintenance of complex systems, such as aircraft, cars and trucks is certainly a nontrivial task. Maintenance technicians must use a great amount of knowl...
Marvin Zaluski, Nathalie Japkowicz, Stan Matwin
WSDM
2009
ACM
188views Data Mining» more  WSDM 2009»
16 years 1 months ago
Is Wikipedia link structure different?
In this paper, we investigate the difference between Wikipedia and Web link structure with respect to their value as indicators of the relevance of a page for a given topic of re...
Jaap Kamps, Marijn Koolen
SIGIR
2005
ACM
16 years 9 days 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
ICDE
2009
IEEE
131views Database» more  ICDE 2009»
16 years 8 months ago
Exploring a Few Good Tuples from Text Databases
Information extraction from text databases is a useful paradigm to populate relational tables and unlock the considerable value hidden in plain-text documents. However, information...
Alpa Jain, Divesh Srivastava
WWW
2008
ACM
16 years 7 months ago
Recommending questions using the mdl-based tree cut model
The paper is concerned with the problem of question recommendation. Specifically, given a question as query, we are to retrieve and rank other questions according to their likelih...
Yunbo Cao, Huizhong Duan, Chin-Yew Lin, Yong Yu, H...