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ANLP
2000

Named Entity Extraction from Noisy Input: Speech and OCR

14 years 28 days ago
Named Entity Extraction from Noisy Input: Speech and OCR
In this paper, we analyze the performance of name finding in the context of a variety of automatic speech recognition (ASR) systems and in the context of one optical character recognition (OCR) system. We explore the effects of word error rate from ASR and OCR, performance as a function of the amount of training data, and for speech, the effect of out-of-vocabulary errors and the loss of punctuation and mixed case
David R. H. Miller, Sean Boisen, Richard M. Schwar
Added 01 Nov 2010
Updated 01 Nov 2010
Type Conference
Year 2000
Where ANLP
Authors David R. H. Miller, Sean Boisen, Richard M. Schwartz, Rebecca Stone, Ralph M. Weischedel
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