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» Scaling Up Context-Sensitive Text Correction
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IAAI
2001
13 years 6 months ago
Scaling Up Context-Sensitive Text Correction
The main challenge in an effort to build a realistic system with context-sensitive inference capabilities, beyond accuracy, is scalability. This paper studies this problem in the ...
Andrew J. Carlson, Jeffrey Rosen, Dan Roth
ICML
2000
IEEE
14 years 5 months ago
Using Error-Correcting Codes for Text Classification
This paper explores in detail the use of Error Correcting Output Coding (ECOC) for learning text classifiers. We show that the accuracy of a Naive Bayes Classifier over text class...
Rayid Ghani
CICLING
2008
Springer
13 years 6 months ago
Non-interactive OCR Post-correction for Giga-Scale Digitization Projects
This paper proposes a non-interactive system for reducing the level of OCR-induced typographical variation in large text collections, contemporary and historical. Text-Induced Corp...
Martin Reynaert
ECIR
2010
Springer
13 years 6 months ago
Text Clustering for Peer-to-Peer Networks with Probabilistic Guarantees
Text clustering is an established technique for improving quality in information retrieval, for both centralized and distributed environments. However, for highly distributed envir...
Odysseas Papapetrou, Wolf Siberski, Norbert Fuhr
ICML
2002
IEEE
14 years 5 months ago
Combining Labeled and Unlabeled Data for MultiClass Text Categorization
Supervised learning techniques for text classi cation often require a large number of labeled examples to learn accurately. One way to reduce the amountoflabeled datarequired is t...
Rayid Ghani