TRW: description of the DEFT system as used for MUC-5

Authors:
William W. Noah;Rollin V. Weeks
Affiliations:
Redondo Beach, CA;Redondo Beach, CA
Venue:
MUC5 '93 Proceedings of the 5th conference on Message understanding
Year:
1993

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Machine Learning for Information Extraction in Informal Domains

Machine Learning - Special issue on information retrieval

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Abstract

For the past three years, TRW has been developing a text analysis tool called DEFT--Data Extraction from Text. Based on the Fast Data Finder (FDF), DEFT processes large volumes of text at very high speeds, identifying patterns which serve as indicators for the presence of relevant objects, relationships, or concepts in the data. These indicators are processed by a series of system-supplied utilities or custom-written functions which refine the data and re-formulate it into frames which can be presented to a user for review, editing, and submission to a downstream application or database.