PHRED: a generator for natural language interfaces
Computational Linguistics
Relating syntax and semantics: the syntactico-semantic lexicon of the system VIE-LANG
EACL '83 Proceedings of the first conference on European chapter of the Association for Computational Linguistics
What is special about natural language generation research?
TINLAP '87 Proceedings of the 1987 workshop on Theoretical issues in natural language processing
Generation systems should choose their words
TINLAP '87 Proceedings of the 1987 workshop on Theoretical issues in natural language processing
Functional Unification Grammar: a formalism for machine translation
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
Encoding and acquiring meanings for figurative phrases
ACL '86 Proceedings of the 24th 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
PHRAN: a knowledge-based natural language understander
ACL '80 Proceedings of the 18th annual meeting on Association for Computational Linguistics
A grammar and a lexicon for a text-production system
ACL '81 Proceedings of the 19th annual meeting on Association for Computational Linguistics
Knowledge structures for natural language generation
COLING '86 Proceedings of the 11th coference on Computational linguistics
Knowledge and natural language processing
Communications of the ACM
A bidirectional model for natural language processing
EACL '91 Proceedings of the fifth conference on European chapter of the Association for Computational Linguistics
Reversible unification based machine translation
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 2
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The topic of BIDIRECTIONALITY, using common knowledge in language processing for both analysis and generation, is of both practical and theoretical concern. Theoretically, it is important to determine what knowledge structures can be applied to both. Practically, it is important that a competent natural language system be able to generate outputs that are relevant to the inputs it understands, without excessive redundancy. This problem revolves around the ability to relate linguistic structures declaratively to their meaning.