Transition network grammars for natural language analysis
Communications of the ACM
Conceptual Information Processing
Conceptual Information Processing
TINLAP '75 Proceedings of the 1975 workshop on Theoretical issues in natural language processing
Processing dictionary definitions with phrasal pattern hierarchies
Computational Linguistics - Special issue of the lexicon
Incremental processing and the hierarchical lexicon
Computational Linguistics - Special issue on inheritance: I
Semantic interpretation using KL-ONE
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
Phrasal analysis of long noun sequences
ACL '87 Proceedings of the 25th annual meeting on Association for Computational Linguistics
FLUSH: a flexible lexicon design
ACL '87 Proceedings of the 25th annual meeting on Association for Computational Linguistics
Design of a knowledge-based report generator
ACL '83 Proceedings of the 21st annual meeting on Association for Computational Linguistics
Knowledge structures in UC, the UNIX Consultant
ACL '83 Proceedings of the 21st annual meeting on Association for Computational Linguistics
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 1
Default reasoning in natural language processing
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 2
A knowledge-based approach to language processing: a progress report
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 1
A case study of knowledge representation in UC
IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 1
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We have developed an approach to natural language processing in which the natural language processor is viewed as a knowledge-based system whose knowledge is about the meanings of the utterances of its language. The approach is oriented around the phrase rather than the word as the basic unit. We believe that this paradigm for language processing not only extends the capabilities of other natural language systems, but handles those tasks that previous systems could perform in a more systematic and extensible manner.We have constructed a natural language analysis program called PHRAN (PHRasal ANalyzer) based in this approach. This model has a number of advantages over existing systems, including the ability to understand a wider variety of language utterances, increased processing speed in some cases, a clear separation of control structure from data structure, a knowledge base that could be shared by a language production mechanism, greater ease of extensibility, and the ability to store some useful forms of knowledge that cannot readily be added to other systems.