Derczynski, L., Bontcheva, K., Liakata, M. et al. (3 more authors) (2017) SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours. In: Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017). 11th International Workshop on Semantic Evaluation (SemEval-2017), 03-04 Aug 2017, Vancouver, Canada. Association for Computational Linguistics , pp. 69-76.
Abstract
Media is full of false claims. Even Oxford Dictionaries named "post-truth" as the word of 2016. This makes it more important than ever to build systems that can identify the veracity of a story, and the kind of discourse there is around it. RumourEval is a SemEval shared task that aims to identify and handle rumours and reactions to them, in text. We present an annotation scheme, a large dataset covering multiple topics - each having their own families of claims and replies - and use these to pose two concrete challenges as well as the results achieved by participants on these challenges.
Metadata
| Item Type: | Proceedings Paper |
|---|---|
| Authors/Creators: |
|
| Copyright, Publisher and Additional Information: | © 2017 Association for Computational Linguistics. |
| Dates: |
|
| Institution: | The University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
| Funding Information: | Funder Grant number EUROPEAN COMMISSION - FP6/FP7 PHEME - 611233 EUROPEAN COMMISSION - HORIZON 2020 654024 |
| Depositing User: | Symplectic Sheffield |
| Date Deposited: | 02 May 2017 13:26 |
| Last Modified: | 09 Dec 2019 13:50 |
| Published Version: | http://aclweb.org/anthology/S/S17/S17-2006.pdf |
| Status: | Published |
| Publisher: | Association for Computational Linguistics |
| Refereed: | Yes |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:115764 |
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)