Text generation: using discourse strategies and focus constraints to generate natural language text
Text generation: using discourse strategies and focus constraints to generate natural language text
The Consul/CUE interface: An integrated interactive environment
CHI '83 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A knowledge-based approach to language production (natural, generation)
A knowledge-based approach to language production (natural, generation)
Inquiry semantics: a functional semantics of natural language grammar
EACL '83 Proceedings of the first conference on European chapter of the Association for Computational Linguistics
Explanation structures in XSEL
ACL '85 Proceedings of the 23rd annual meeting on Association for Computational Linguistics
Generalized augmented transition network grammars for generation from semantic networks
ACL '79 Proceedings of the 17th annual meeting on Association for Computational Linguistics
Referential nets with attributes
COLING '82 Proceedings of the 9th conference on Computational linguistics - Volume 1
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This paper presents a technique for interpreting output demands by a natural language sentence generator in a formally transparent and efficient way. These demands are stated in a logical language. A network knowledge base organizes the concepts of the application domain into categories known to the generator. The logical expressions are interpreted by the generator using the knowledge base and a restricted, but efficient, hybrid knowledge representation system. This design has been used to allow the NIGEL generator to interpret statements in a first-order predicate calculus using the NIKL and KL-TWO knowledge representation systems. The success of this experiment has led to plans for the inclusion of this design in both the evolving Penman natural language generator and the Janus natural language interface.