Wikipedia-based Kernels for dialogue topic tracking
|Wikipedia-based Kernels for dialogue topic tracking|
|Author(s)||Kim S., Banchs R.E., Li H.|
|Published in||ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings|
|Keyword(s)||Dialogue Topic Tracking, Kernel Methods, Spoken Dialogue Systems, Wikipedia (Extra: Signal processing, Speech processing, Kernel methods, Mixed-initiative, Spoken dialogue system, Topic tracking, Wikipedia, Information analysis)|
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Wikipedia-based Kernels for dialogue topic tracking is a 2014 conference paper written in English by Kim S., Banchs R.E., Li H. and published in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings.
Dialogue topic tracking aims to segment on-going dialogues into topically coherent sub-dialogues and predict the topic category for each next segment. This paper proposes a kernel method for dialogue topic tracking to utilize various types of information obtained from Wikipedia. The experimental results show that our proposed approach can significantly improve the performances of the task in mixed-initiative humanhuman dialogues.
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