A Statistical Approach for Text Processing in Virtual Humans (bibtex)
by Leuski, Anton and Traum, David
Abstract:
We describe a text classi⬚cation approach based on statistical language modeling. We show how this approach can be used for several natural language processing tasks in a virtual human system. Speci⬚cally, we show it can applied to language understanding, language generation, and character response selection tasks. We illustrate these applications with some experimental results.
Reference:
A Statistical Approach for Text Processing in Virtual Humans (Leuski, Anton and Traum, David), In Proceedings of the 26th Army Science Conference, 2008.
Bibtex Entry:
@inproceedings{leuski_statistical_2008,
	address = {Orlando, FL},
	title = {A {Statistical} {Approach} for {Text} {Processing} in {Virtual} {Humans}},
	url = {http://ict.usc.edu/pubs/A%20STATISTICAL%20APPROACH%20FOR%20TEXT%20PROCESSING%20IN%20VIRTUAL%20HUMANS.pdf},
	abstract = {We describe a text classi⬚cation approach based on statistical language modeling. We show how this approach can be used for several natural language processing tasks in a virtual human system. Speci⬚cally, we show it can applied to language understanding, language generation, and character response selection tasks. We illustrate these applications with some experimental results.},
	booktitle = {Proceedings of the 26th {Army} {Science} {Conference}},
	author = {Leuski, Anton and Traum, David},
	month = dec,
	year = {2008},
	keywords = {Virtual Humans}
}
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