论文信息 - Named Entity Extraction from Noisy Input: Speech and OCR

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

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