Language Systems Inc.: description of the DBG system as used for MUC-5

  • Authors:
  • Christine A. Montgomery;Robert E. Stumberger;Bonnie Glover Stalls;Naicong Li;Robert S. Belvin;Susan Hirsh Litenatsky

  • Affiliations:
  • Language Systems, Inc. Woodland Hills, CA;Language Systems, Inc. Woodland Hills, CA;Language Systems, Inc. Woodland Hills, CA;Language Systems, Inc. Woodland Hills, CA;Language Systems, Inc. Woodland Hills, CA;Language Systems, Inc. Woodland Hills, CA

  • Venue:
  • MUC5 '93 Proceedings of the 5th conference on Message understanding
  • Year:
  • 1993

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Abstract

Language Systems, Inc. (LSI) believes that the best system for producing a complete and accurate automated analysis of natural language text is an in-depth text understanding system that employs linguistic as well as other analytical techniques to interpret the text. Our DBG (Data Base Generation) natural language processing system performs full-scale linguistic analysis of text in order to produce a system-internal text-level representation of the content of the text. This representation is composed of a set of entity and event frame structures, interrelated to reflect the organization and content of the text. This representation of the text can then be mapped into any data structure required by a downstream application, such as the templates specified for the MUC-5/Tipster applications. DBG has been designed as a single core system for handling texts of different types in different domains for a variety of applications. Application types for which DBG has provided the input include information extraction and database generation tasks such as MUC-5, message fusion (the combination of information derived from various kinds of sources, including text; see [1]), and the translation of text into another language using spoken input and output ([2]).