Proper Name Classification in an Information Extraction Toolset
نویسندگان
چکیده
Applied discourse analysis is a hot topic in Information Retrieval (IR) and the related field of Information Extraction (IE). Although interesting observations about discourse can be made "by hand," applications require large quantities of data about language data which is rather uninteresting. This paper investigates using statistical analysis over a body of text to suggest new rules for recognizing named entities.
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