Abstract
We present a multimodal in-vehicle dialogue system which uses learned predictions of user answers to enable shorter, more efficient, and thus safer natural language dialogues.
Cite
CITATION STYLE
APA
Larsson, S., Kronlid, F., & Wärnestål, P. (2014). Safe In-vehicle Dialogue Using Learned Predictions of User Utterances. In EACL 2014 - Proceedings of the Demonstrations at the 14th Conference of the European Chapter of the Association for Computational Linguistics (pp. 37–40). Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/e14-2010
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
Already have an account? Sign in
Sign up for free