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- W29080963 abstract "This paper describes research in developing tagged semantic grammars that carry emotional and attitudinal information about the user’s utterance. This information is then used to characterize the emotional state of the user in its interaction with a virtual computer characters. This paper describes several applications that use tagged semantic grammars and presents some results from those systems." @default.
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- W29080963 date "2003-01-01" @default.
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- W29080963 title "Extracting Emotional Information from the Text of Spoken Dialog" @default.
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