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Knowledge and natural language processing
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Volume 33 ,  Issue 8  (August 1990) table of contents
Pages: 50 - 71  
Year of Publication: 1990
ISSN:0001-0782
Authors
Jim Barnett  MCC, Austin, TX
Kevin Knight  Carnegie-Mellon Univ., Pittsburgh, PA
Inderjeet Mani  MCC, Austin, TX
Elaine Rich  MCC, Austin, TX
Publisher
ACM  New York, NY, USA
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ABSTRACT

KBNL is a knowledge-based natural language processing system that is novel in several ways, including the clean separation it enforces between linguistic knowledge and world knowledge, and its use of knowledge to aid in lexical acquisition. Applications of KBNL include intelligent interfaces, text retrieval, and machine translation.


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.

 
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CITED BY  9


REVIEW

"Graeme J. Hirst : Reviewer"

Researchers in computational linguistics have long acknowledged that understanding language requires understanding the world. It is people's extensive commonsense knowledge of the world that enables them to perform with ease so many of the lin  more...

Collaborative Colleagues:
Jim Barnett: colleagues
Kevin Knight: colleagues
Inderjeet Mani: colleagues
Elaine Rich: colleagues