Daniel P. Lopresti
“Performance Evaluation for Text
Processing of Noisy Inputs,”
Proceedings of the 20th Annual ACM Symposium on Applied Computing
(Document Engineering Track), March 2005, Santa Fe, NM, pp.
759-763.
Abstract
We investigate the problem of evaluating the performance of text
processing algorithms on inputs that contain errors as a result of
optical character recognition. A new hierarchical paradigm is proposed
based on approximate string matching, allowing each stage in the
processing pipeline to be tested, the error effects analyzed, and
possible solutions suggested.
Paper ( PDF 83 kbytes)
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