Wikipedia-based Kernels for dialogue topic tracking

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Wikipedia-based Kernels for dialogue topic tracking
Title:
Wikipedia-based Kernels for dialogue topic tracking
Journal Title:
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Keywords:
Publication Date:
04 May 2014
Citation:
S. Kim, R. E. Banchs and H. Li, "Wikipedia-based Kernels for dialogue topic tracking," 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Florence, 2014, pp. 131-135. doi: 10.1109/ICASSP.2014.6853572
Abstract:
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 human-human dialogues.
License type:
PublisherCopyrights
Funding Info:
Description:
(c) 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
ISSN:
1520-6149
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