Building natural language generation systems
Building natural language generation systems
Ambiguity management in natural language generation
Ambiguity management in natural language generation
Do the right thing . . . but expect the unexpected
Computational Linguistics - Special issue on natural language generation
Forest-based statistical sentence generation
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Generation that exploits corpus-based statistical knowledge
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
LFG generation produces context-free languages
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Corpus-based methods in natural language generation: friend or foe?
EWNLG '01 Proceedings of the 8th European workshop on Natural Language Generation - Volume 8
INLG '10 Proceedings of the 6th International Natural Language Generation Conference
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In contrast to the latest progress in speech recognition, the state-of-the-art in natural language generation for spoken language dialog systems is lagging behind. The core dialog managers are now more sophisticated; and natural-sounding and flexible output is expected, but not achieved with current simple techniques such as template-based systems. Portability of systems across subject domains and languages is another increasingly important requirement in dialog systems. This paper presents an outline of LEGEND, a system that is both portable and generates natural-sounding output. This goal is achieved through the novel use of existing lexical resources such as FrameNet and WordNet.