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In Proceedings of Interspeech (September 2008) Key: citeulike:7885526
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We present a new approach for rapidly developing dialogue capabilities for virtual humans. Starting from domain specification, an integrated authoring interface automatically generates dialogue acts with all possible contents. These dialogue acts are linked to example utterances in order to provide training data for natural language understanding and generation. The virtual human dialogue system contains a dialogue manager following the information-state approach, using finite-state machines and SCXML to manage local coherence, as well as explicit modeling of emotions and compliance level and a grounding component based on evidence of understanding. Using the authoring tools, we design and implement a version of the virtual human Hassan and compare to previous architectures for the character. Index Terms: spoken dialogue systems, virtual humans
SEMANTIC REPRESENTATION: XML dialog acts, automatically created from the domain description. Example:
hassan.assert
<dialogue_act speaker="hassan">
<primitive_dialogue_act>
<assertion>
<object name="tax">
<attribute name="collector">
<value>hassan</value>
</attribute>
</object>
</assertion>
</primitive_dialogue_act>
</dialogue_act>
Indeed, you might say that I collect the taxes.
NLU: "The NLU uses a statistical language modeling text classification
technique (Leuski et al. 2006) to map the text produced by the speech recognition to dialogue acts."
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