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SRA: description of the SOLOMON system as used for MUC-4
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Source Message Understanding Conference archive
Proceedings of the 4th conference on Message understanding table of contents
McLean, Virginia
SESSION: System descriptions table of contents
Pages: 259 - 267  
Year of Publication: 1992
ISBN:1-55860-273-9
Authors
Chinatsu Aone  Systems Research and Applications (SRA), Arlington, VA
Doug McKee  Systems Research and Applications (SRA), Arlington, VA
Sandy Shinn  Systems Research and Applications (SRA), Arlington, VA
Hatte Blejer  Systems Research and Applications (SRA), Arlington, VA
Publisher
Association for Computational Linguistics  Morristown, NJ, USA
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abstract   cited by   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: 10.3115/1072064.1072102

ABSTRACT

SRA's knowledge-based natural language processing system SOLOMON has been developed for text understanding since 1986. In addition to being a domain-independent NLP system, starting in the fall of 1990, SOLOMON has been extended as part of the MURASAKI project to become a multi-lingual text understanding system. It currently understands Spanish and Japanese as well as English texts. In order to achieve domain- and language-independence, SOLOMON separates data from processing modules. The processing modules do not assume any domain- or language-dependent facts; rather they are designed so that they work off separate data, i.e. lexicons, grammars, patterns, and knowledge bases, which vary according to the domain or language. To facilitate data acquisition, SRA has developed 2 tools: LEXTool for the development of lexicons and KBTool for the development of knowledge bases.


Collaborative Colleagues:
Chinatsu Aone: colleagues
Doug McKee: colleagues
Sandy Shinn: colleagues
Hatte Blejer: colleagues