Titlebook: Natural Language Generation in Artificial Intelligence and Computational Linguistics; Cécile L. Paris,William R. Swartout,William C. Man B

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stratum-corneum

責(zé)任

Tailoring output to the user: What does user modelling in generation mean?of user modelling and of the constraints realism imposes on modelling. Using a range of detailed examples it argues that tailoring based only on the actual dialogue and on the decision model required for the system task is quite adequate, and that more ambitious modelling is both dangerous and unnecessary.

機(jī)構(gòu)

CUR

https://doi.org/10.1007/978-1-4757-5945-7Text; artificial intelligence; computational linguistics; expert system; intelligence; linguistics; natura

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Lacerate

Generation and Explanation: Building an Explanation Facility for the Explainable Expert Systems Framiques did not fit our needs. This paper thus presents an overview of the generation facility being built for EES, including an ‘historical’ perspective that explains the decisions we made. Finally, we briefly present directions for future research.

HUMP

POWER

POPEL — A Parallel and Incremental Natural Language Generation Systemented representation of the content into natural language. The gesture generator ZORA determines and visualizes pointing gestures based on domain dependent rules. POPEL is realized on a (simulated) parallel processor.

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