In this paper we present the dialogue-understanding components of an architecture for assisting multi-human conversations in artifact-producing meetings: meetings in which tangible products such as project planning charts are created. Novel aspects of our system include multimodal ambiguity resolution, modular ontology-driven artifact manipulation, and a meeting browser for use during and after meetings. We describe the software architecture and demonstrate the system using an example multimodal dialogue.
CITATION STYLE
Niekrasz, J., Gruenstein, A., & Cavedon, L. (2004). Multi-human dialogue understanding for assisting artifact-producing meetings. In COLING 2004 - Proceedings of the 20th International Conference on Computational Linguistics. Association for Computational Linguistics (ACL). https://doi.org/10.3115/1220355.1220417
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