Julius Information Extractor
نویسندگان
چکیده
The Julius Information Extractor is a system that uses user input to derive a set of rules which are then employed to find and delineate tokens similar to the user’s input. Julius leverages a simple and intuitive GUI design to provide a system for feature extraction over a given corpus. Moreover, this system is unique in that it provides a vehicle by which arbitrary classes may be recognized; where traditional information extractors may be tuned to domain-specific applications, Julius allows for any arbitrary type of feature to be selected and sought. As a rule, we have attempted to develop Julius as free from bias as possible, using a minimum of assumptions to develop the extractor; while this method has obvious practical advantages, there are in contrast some very practical negative effects which are derived from a general lack of human tuning.
منابع مشابه
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