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Noise-tolerance feasibility for restricted-domain Information Retrieval systems
2013
Data & Knowledge Engineering
Information Retrieval systems normally have to work with rather heterogeneous sources, such as Web sites or documents from Optical Character Recognition tools. The correct conversion of these sources into flat text files is not a trivial task since noise may easily be introduced as a result of spelling or typeset errors. Interestingly, this is not a great drawback when the size of the corpus is sufficiently large, since redundancy helps to overcome noise problems. However, noise becomes a
doi:10.1016/j.datak.2013.02.002
fatcat:5qiigpswgvdj3kclovovnqmsaq