Summarization of noisy documents
Hongyan Jing, Daniel Lopresti, Chilin Shih · 2003
We investigate the problem of summarizing text documents that contain errors as a result of optical character recognition.Each stage in the process is tested, the error effects analyzed, and possible solutions suggested.Our experimental results show that current approaches, which are developed to deal with clean text, suffer significant degradation even with slight increases in the noise level of a document.We conclude by proposing possible ways of improving the performance of noisy document summarization.