Categorizing and standardizing proper nouns for efficient information retrieval
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TL;DR
The most recent implementation and evaluation of the proper noun categorization and standardization module of the DRLINK document detection system being developed at Syracuse University, under the auspices of ARPA's TIPSTER program is described.
Abstract
In this paper, we describe the most recent implementation and evaluation of the proper noun categorization and standardization module of the DR- LINK document detection system being developed at Syracuse University, under the auspices of ARPA's TIPSTER program. We also discuss the expansion of group common nouns and group proper nouns to enhance retrieval recall. Successful proper noun boundary identification within the part of speech tagger is essential for successful categorization. The proper noun classification module is designed to assign a category code to each proper noun entity, using 30 categories generated from corpus analysis.