Generating English discourse from semantic networks
Communications of the ACM
Transition network grammars for natural language analysis
Communications of the ACM
Directed random generation of sentences
Communications of the ACM
The fourteen primitive actions and their inferences.
The fourteen primitive actions and their inferences.
MLISP
Computer generation of natural-language from a deep conceptual base.
Computer generation of natural-language from a deep conceptual base.
SIGIR '83 Proceedings of the 6th annual international ACM SIGIR conference on Research and development in information retrieval
Computer generated narrative description
ACM '75 Proceedings of the 1975 annual conference
The boundaries of language generation
TINLAP '75 Proceedings of the 1975 workshop on Theoretical issues in natural language processing
Response generation in question answering systems
ACL '79 Proceedings of the 17th annual meeting on Association for Computational Linguistics
SGS: a system for mechanical generation of Japanese sentences
COLING '80 Proceedings of the 8th conference on Computational linguistics
On a semantic model for multi-lingual paraphrasing
COLING '82 Proceedings of the 9th conference on Computational linguistics - Volume 1
A new fast and safe marking algorithm
ACM Lisp Bulletin
An organization for a dictionary of senses
IJCAI'75 Proceedings of the 4th international joint conference on Artificial intelligence - Volume 1
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A model of natural language generation based on an underlying language-free representation of meaning is described. A program based on this model is able to produce sentence paraphrases which demonstrate understanding with respect to a given context. This generator operates in conjunction with a natural language analyzer and a combined memory and inference model. In generating sentences from meaning structures, the program employs both the information retrieval and deduction capabilities of the memory model.The model encompasses several diverse classes of linguistic knowledge, which include: (1) executable tests of conceptual properties stored in discrimination nets; (2) information relating conceptual to syntactic roles, stored in a word-sense dictionary, and (3) surface grammatical knowledge, stored in a formal grammar.