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» Querying Probabilistic Information Extraction
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DRR
2003
13 years 9 months ago
Information retrieval for OCR documents: a content-based probabilistic correction model
The difficulty with information retrieval for OCR documents lies in the fact that OCR documents comprise of a significant amount of erroneous words and unfortunately most informat...
Rong Jin, ChengXiang Zhai, Alexander G. Hauptmann
NLPRS
2001
Springer
14 years 2 days ago
Japanese Information Retrieval Method Using Syntactic and Statistical Information
This paper presents a Japanese information retrieval method using the dependency relationship between words and semantic and statistical information about them. Our method gives a...
Tsunenori Mine, Hiroki Fujitani, Makoto Amamiya
AAAI
2008
13 years 10 months ago
Turning Web Text and Search Queries into Factual Knowledge: Hierarchical Class Attribute Extraction
A seed-based framework for textual information extraction allows for weakly supervised acquisition of open-domain class attributes over conceptual hierarchies, from a combination ...
Marius Pasca
SIGMOD
2008
ACM
134views Database» more  SIGMOD 2008»
14 years 7 months ago
SystemT: a system for declarative information extraction
As applications within and outside the enterprise encounter increasing volumes of unstructured data, there has been renewed interest in the area of information extraction (IE) ? t...
Rajasekar Krishnamurthy, Yunyao Li, Sriram Raghava...
ICDE
2007
IEEE
134views Database» more  ICDE 2007»
14 years 9 months ago
Efficient Top-k Query Evaluation on Probabilistic Data
Modern enterprise applications are forced to deal with unreliable, inconsistent and imprecise information. Probabilistic databases can model such data naturally, but SQL query eva...
Christopher Re, Nilesh N. Dalvi, Dan Suciu