Presentation 1998/9/17
A method for automatic acquisition of a network typed task model using word sequences of dialogue
Shigeaki Sakurai, Takashi Endo, Toshiro Mukai, Hironobu Takahashi, Ryuichi Oka,
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Abstract(in English) We propose a new method for learning a network typed task model, which is used in realizing a dialogue system between human and computer with speech and gesture.The method learns the model from both word sequences dialogue and background knowledge of the words.The knowledge consists of identical words and exchangeable words. The former represents words each of which can be assigned at each arc.The latter represents words each of which can exchange with other words in a word sequence of dialogue.Some examples show how a simple task model for allocating house appearance is learned by using our method.
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Keyword(in English) multi-modal interface / automaton / self-organization / learning / task representation
Paper # PRMU98-75
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Conference Information
Committee PRMU
Conference Date 1998/9/17(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A method for automatic acquisition of a network typed task model using word sequences of dialogue
Sub Title (in English)
Keyword(1) multi-modal interface
Keyword(2) automaton
Keyword(3) self-organization
Keyword(4) learning
Keyword(5) task representation
1st Author's Name Shigeaki Sakurai
1st Author's Affiliation Real World Computing Partnership()
2nd Author's Name Takashi Endo
2nd Author's Affiliation Real World Computing Partnership
3rd Author's Name Toshiro Mukai
3rd Author's Affiliation Real World Computing Partnership
4th Author's Name Hironobu Takahashi
4th Author's Affiliation Real World Computing Partnership
5th Author's Name Ryuichi Oka
5th Author's Affiliation Real World Computing Partnership
Date 1998/9/17
Paper # PRMU98-75
Volume (vol) vol.98
Number (no) 274
Page pp.pp.-
#Pages 8
Date of Issue