Abstract

Diderot is an information extraction system built at CRL and Brandeis University over the past year. It was produced as part of our efforts in the Tipster project. Diderot has already been converted from one subject domain to another and versions of the system have been made for two languages. The same system architecture has been used for English and Japanese and a comparison is made of the processing done at each stage for the two languages. The domain of the texts used is the business area of joint ventures. 1. Introduction Natural Language Processing (NLP) is beginning to appear viable for a number of large scale tasks related to information analysis. This is in part due to improved data resources, for example machine readable dictionaries and large scale corpora and part due to the increased speed of machines and the reduced cost of storage. These coupled with the fact that simple methods can accomplish much of the basic tasks of Information Extraction and the realization that li...

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