Edited by Amanda Stent, AT&T Research, Florham Park, New Jersey, Srinivas Bangalore, AT&T Research, Florham Park, New Jersey. Subjects: Computer Science, Communications and Signal Processing, Artificial Intelligence and Natural Language Processing, Engineering. 7 - Reinforcement. An informative and comprehensive overview of the state-of-the-art in natural language generation (NLG) for interactive systems, this guide serves to introduce .
For example, conversational interaction and interfaces are nowadays a trend, showing the central role of language generation in a variety of intelligent interactive systems. This limits a system's expressivity in unexpected situations. Adeyanju, I. Gadgets Essays. With a major influx of data that needs to be assessed along with the need to reduce costs significantly, enterprises need to identify ways to streamline.
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Availability Usually despatched within 2 weeks. Searle, Referability Kees van Deemter.
Computing Science. Abstract Introduction A key task of almost any natural language generation NLG system is to refer to entities.
In the words of the philosopher John Searle, Any expression which serves to identify any thing, process, event, action, or any other kind of individual or particular I shall call a referring expression. Computing Science.
Bangalore Eds. Cambridge: Cambridge University Press.
Natural Language Generation in Interactive Systems.