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» From Detecting Errors to Automatically Correcting Them
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ACL
1998
13 years 9 months ago
Towards a Single Proposal in Spelling Correction
The study presented here relies on the integrated use of different kinds of knowledge in order to improve first-guess accuracy in non-word context-sensitive correction for general...
Eneko Agirre, Koldo Gojenola Galletebeitia, Kepa S...
ICDAR
2007
IEEE
14 years 2 months ago
Context-Sensitive Error Correction: Using Topic Models to Improve OCR
Modern optical character recognition software relies on human interaction to correct misrecognized characters. Even though the software often reliably identifies low-confidence ...
Michael L. Wick, Michael G. Ross, Erik G. Learned-...
FASE
2009
Springer
13 years 11 months ago
Mining API Error-Handling Specifications from Source Code
Abstract. API error-handling specifications are often not documented, necessitating automated specification mining. Automated mining of error-handling specifications is challenging...
Mithun Acharya, Tao Xie
ICTAI
2005
IEEE
14 years 1 months ago
ACE: An Aggressive Classifier Ensemble with Error Detection, Correction, and Cleansing
Learning from noisy data is a challenging and reality issue for real-world data mining applications. Common practices include data cleansing, error detection and classifier ensemb...
Yan Zhang, Xingquan Zhu, Xindong Wu, Jeffrey P. Bo...
EUROCRYPT
2007
Springer
14 years 1 months ago
Secure Computation from Random Error Correcting Codes
Abstract. Secure computation consists of protocols for secure arithmetic: secret values are added and multiplied securely by networked processors. The striking feature of secure co...
Hao Chen, Ronald Cramer, Shafi Goldwasser, Robbert...