Corpus-based, Statistical Goal Recognition

11 years 1 months ago
Corpus-based, Statistical Goal Recognition
Goal recognition for dialogue systems needs to be fast, make early predictions, and be portable. We present initial work which shows that using statistical, corpus-based methods to build goal recognizers may be a viable way to meet those needs. Our goal recognizer is trained on data from apian corpus and then used to determine the agent's most likely goal based on that data. The algorithm is linear in the number of goals, and performs very well in terms of accuracy and early prediction. In addition, it is more easily portable to new domains as does not require a hand-crafted plan library.
Nate Blaylock, James F. Allen
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2003
Authors Nate Blaylock, James F. Allen
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