A hierarchical intention recognition model for situated dialogue system

Abstract

Analysis of the speaker's intention plays a crucial role in implementation of high-quality dialogue systems. Whether or not the utterance is situated in the environment is a very important factor for the precise intention analysis in situated dialogue systems. For our teaching system we propose a hierarchical intention taxonomy. First, we separate the intention into two categories by checking whether it is situated, after that we classify the intentions into more fine-grained categories. The experimental results show that, compared with the flat classifier, the hierarchical classifier gives a better performance.

DOI: 10.1109/CCIS.2014.7175717

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Cite this paper

@article{Liu2014AHI, title={A hierarchical intention recognition model for situated dialogue system}, author={Yongbin Liu and Xiaojie Wang}, journal={2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems}, year={2014}, pages={135-139} }