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All-in-one : multi-task learning for rumour verification
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Kochina, Elena, Liakata, Maria and Zubiaga, Arkaitz (2018) All-in-one : multi-task learning for rumour verification. In: 27th International Conference on Computational Linguistics , Santa Fe, New Mexico, USA, 20-26 Aug 2018. Published in: Proceedings of the 27th International Conference on Computational Linguistics pp. 3402-3413. ISBN 9781948087506.
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WRAP-All-in-one-multi-task-learning-rumour-verification-Zubiaga-2018.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (334Kb) | Preview |
Official URL: http://aclweb.org/anthology/C18-1000
Abstract
Automatic resolution of rumours is a challenging task that can be broken down into smaller components that make up a pipeline, including rumour detection, rumour tracking and stance classification, leading to the final outcome of determining the veracity of a rumour. In previous work, these steps in the process of rumour verification have been developed as separate components where the output of one feeds into the next. We propose a multi-task learning approach that allows joint training of the main and auxiliary tasks, improving the performance of rumour verification. We examine the connection between the dataset properties and the outcomes of the multi-task learning models used.
Item Type: | Conference Item (Paper) | ||||||||||||
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Subjects: | H Social Sciences > HM Sociology Q Science > QA Mathematics > QA75 (Please use QA76 Electronic Computers. Computer Science) |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||||||||
Library of Congress Subject Headings (LCSH): | Social media, Computer science, Rumor | ||||||||||||
Journal or Publication Title: | Proceedings of the 27th International Conference on Computational Linguistics | ||||||||||||
Publisher: | Association for Computational Linguistics | ||||||||||||
ISBN: | 9781948087506 | ||||||||||||
Official Date: | 16 May 2018 | ||||||||||||
Dates: |
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Page Range: | pp. 3402-3413 | ||||||||||||
Status: | Peer Reviewed | ||||||||||||
Publication Status: | Published | ||||||||||||
Access rights to Published version: | Open Access (Creative Commons) | ||||||||||||
Date of first compliant deposit: | 17 August 2018 | ||||||||||||
Date of first compliant Open Access: | 17 August 2018 | ||||||||||||
RIOXX Funder/Project Grant: |
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Conference Paper Type: | Paper | ||||||||||||
Title of Event: | 27th International Conference on Computational Linguistics | ||||||||||||
Type of Event: | Conference | ||||||||||||
Location of Event: | Santa Fe, New Mexico, USA | ||||||||||||
Date(s) of Event: | 20-26 Aug 2018 | ||||||||||||
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