For effective human-bot communication to be possible, we must move from robust sentence processing to robust utterance understanding. Our bots must be able to decode not only what sentence the speaker used, but also what the speaker’s intentions were when he spoke. This task takes us far beyond a precise specification of the set of literal meanings of individual sentences in isolation. It pushes us well past current text processing methods. It demands that we achieve a robust and tractable computational understanding of both implicit and explicit linguistic meaning.



Allbeck, J.M. and Kress-Gazit, H. Constraints-Based Complex Behavior in Rich Environments. In Proceedings of the 10th International Conference on Intelligent Virtual Agents, Springer, 2010, pages 1-14.


Intention Workshop 2009

Year 2 Review 2009

PAR Implementation Overview


Support for this effort is gratefully acknowledged from the U.S. Army SUBTLE MURI W911NF-07-1-0216 lead by Mitch Marcus.