Presentation: Evaluation of named entity extraction tools for raw OCR text

In this lecture I present an experiment comparing the efficacy of several Named Entity Extraction (NEE) tools at extracting entities directly from the output of an optical character recognition (OCR) workflow. The presentation will discuss the creation of a set of test data consisting of raw and manually corrected OCR output, comparing the precision and recall in the extraction of entities of type PERSON, LOCATION and ORGANIZATION against the manually annotated test data.

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