A Composite Kernel Approach for Dialog Topic Tracking with Structured Domain Knowledge from Wikipedia
Authors | Seokhwan Kim Rafael E. Banchs Haizhou Li |
|---|---|
Publication date | 2014 |
DOI | 10.3115/v1/P14-2004 |
Links | Original |
A Composite Kernel Approach for Dialog Topic Tracking with Structured Domain Knowledge from Wikipedia - scientific work related to Wikipedia quality published in 2014, written by Seokhwan Kim, Rafael E. Banchs and Haizhou Li.
Overview
Dialog topic tracking aims at analyzing and maintaining topic transitions in ongoing dialogs. This paper proposes a composite kernel approach for dialog topic tracking to utilize various types of domain knowledge obtained from Wikipedia. Two kernels are defined based on history sequences and context trees constructed based on the extracted features. The experimental results show that composite kernel approach can significantly improve the performances of topic tracking in mixed-initiative human-human dialogs.
Embed
Wikipedia Quality
Kim, Seokhwan; Banchs, Rafael E.; Li, Haizhou. (2014). "[[A Composite Kernel Approach for Dialog Topic Tracking with Structured Domain Knowledge from Wikipedia]]".DOI: 10.3115/v1/P14-2004.
English Wikipedia
{{cite journal |last1=Kim |first1=Seokhwan |last2=Banchs |first2=Rafael E. |last3=Li |first3=Haizhou |title=A Composite Kernel Approach for Dialog Topic Tracking with Structured Domain Knowledge from Wikipedia |date=2014 |doi=10.3115/v1/P14-2004 |url=https://wikipediaquality.com/wiki/A_Composite_Kernel_Approach_for_Dialog_Topic_Tracking_with_Structured_Domain_Knowledge_from_Wikipedia}}
HTML
Kim, Seokhwan; Banchs, Rafael E.; Li, Haizhou. (2014). "<a href="https://wikipediaquality.com/wiki/A_Composite_Kernel_Approach_for_Dialog_Topic_Tracking_with_Structured_Domain_Knowledge_from_Wikipedia">A Composite Kernel Approach for Dialog Topic Tracking with Structured Domain Knowledge from Wikipedia</a>".DOI: 10.3115/v1/P14-2004.
