Representations of Dialogue State for Domain and Task Independent Meta-Dialogue (bibtex)
by David Traum, Carl F. Andersen, Waiyian Chong, Darsana Josyula, Yoshi Okamoto, Khemdut Purang, Michael O'Donovan-Anderson, Don Perlis
Abstract:
We propose a representation of local dialogue context motivated by the need to react appropriately to meta-dialogue, such as various sorts of corrections to the sequence of an instruction and response action. Such contexts includes at least the following aspects: the words and linguistic structures uttered, the domain correlates of those linguistic structures, and plans and actions in response. Each of these is needed as part of the context in order to be able to correctly interpret the range of possible corrections. Partitioning knowledge of dialogue structure in this way may lead to an ability to represent generic dialogue structure (e.g., in the form of axioms), which can be particularized to the domain, topic and content of the dialogue.
Reference:
Representations of Dialogue State for Domain and Task Independent Meta-Dialogue (David Traum, Carl F. Andersen, Waiyian Chong, Darsana Josyula, Yoshi Okamoto, Khemdut Purang, Michael O'Donovan-Anderson, Don Perlis), In Electronic Transactions on Artificial Intelligence, volume 3, 1999.
Bibtex Entry:
@article{traum_representations_1999,
	title = {Representations of {Dialogue} {State} for {Domain} and {Task} {Independent} {Meta}-{Dialogue}},
	volume = {3},
	url = {http://ict.usc.edu/pubs/Representations%20of%20Dialogue%20State%20for%20Domain%20and%20Task%20Independent%20Meta-Dialogue.pdf},
	abstract = {We propose a representation of local dialogue context motivated by the need to react appropriately to meta-dialogue, such as various sorts of corrections to the sequence of an instruction and response action. Such contexts includes at least the following aspects: the words and linguistic structures uttered, the domain correlates of those linguistic structures, and plans and actions in response. Each of these is needed as part of the context in order to be able to correctly interpret the range of possible corrections. Partitioning knowledge of dialogue structure in this way may lead to an ability to represent generic dialogue structure (e.g., in the form of axioms), which can be particularized to the domain, topic and content of the dialogue.},
	journal = {Electronic Transactions on Artificial Intelligence},
	author = {Traum, David and Andersen, Carl F. and Chong, Waiyian and Josyula, Darsana and Okamoto, Yoshi and Purang, Khemdut and O'Donovan-Anderson, Michael and Perlis, Don},
	year = {1999},
	keywords = {Virtual Humans},
	pages = {125--152}
}
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