Corpus-based, Statistical Goal Recognition

Blaylock, Nate; Allen, James F.

Corpus-based, Statistical Goal Recognition

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Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence. Pages 1303-1307.

Abstract

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 a plan 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, and James F. Allen. 2003. Corpus-based, Statistical Goal Recognition. In Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, IJCAI-03. IJCAI, 1303–1307. https://ijcai.org/proceedings/2003/185

@inproceedings{ijcai2003p185,
  title     = {Corpus-based, Statistical Goal Recognition},
  author    = {Blaylock, Nate and Allen, James F.},
  booktitle = {Proceedings of the Eighteenth International Joint Conference on
               Artificial Intelligence, {IJCAI-03}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  editor    = {Georg Gottlob},
  pages     = {1303--1307},
  year      = {2003},
  url       = {https://ijcai.org/proceedings/2003/185},
}

TY  - CPAPER
TI  - Corpus-based, Statistical Goal Recognition
AU  - Blaylock, Nate
AU  - Allen, James F.
T2  - Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, IJCAI-03
PB  - International Joint Conferences on Artificial Intelligence
PY  - 2003
SP  - 1303
EP  - 1307
UR  - https://ijcai.org/proceedings/2003/185
ER  -