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Article
License: CC BY
Data sources: UnpayWall
https://doi.org/10.18653/v1/w1...
Article . 2015 . Peer-reviewed
Data sources: Crossref
DBLP
Conference object . 2021
Data sources: DBLP
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Towards Improving Dialogue Topic Tracking Performances with Wikification of Concept Mentions

Authors: Seokhwan Kim; Rafael E. Banchs; Haizhou Li 0001;

Towards Improving Dialogue Topic Tracking Performances with Wikification of Concept Mentions

Abstract

Dialogue topic tracking aims at analyzing and maintaining topic transitions in on-going dialogues. This paper proposes to utilize Wikification-based features for providing mention-level correspondences to Wikipedia concepts for dialogue topic tracking. The experimental results show that our proposed features can significantly improve the performances of the task in mixed-initiative human-human dialogues.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
hybrid