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SRA SOLOMON: MUC-4 test results and analysis
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Source Message Understanding Conference archive
Proceedings of the 4th conference on Message understanding table of contents
McLean, Virginia
SESSION: Test results and analysis (site reports) table of contents
Pages: 137 - 142  
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
Bibliometrics
Downloads (6 Weeks): 3,   Downloads (12 Months): 9,   Citation Count: 1
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abstract   references   cited by   collaborative colleagues  

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DOI Bookmark: 10.3115/1072064.1072084

ABSTRACT

In this paper, we report SRA's results on the MUC-4 task and describe how we trained our natural language processing system for MUC-4. We also report on what worked, what didn't work, and lessons learned. Our MUC-4 system embeds the SOLOMON knowledge-based NLP shell which is designed for both domain-independence and language-independence. We are currently using SOLOMON for a Spanish and Japanese text understanding project in a different domain. Although this was our first year participating in MUC, we have built and are currently building other data extraction systems.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Doug McKee and John Maloney. Using Statistics Gained from Corpora in a Knowledge-Based NLP System. In Proceedings of The AAAI Workshop on Statistically-Based NLP Techniques, 1992.

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