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Turing at SemEval-2017 task 8 : sequential approach to rumour stance classification with branch-LSTM
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Kochkina, Elena, Liakata, Maria and Augenstein, Isabelle (2017) Turing at SemEval-2017 task 8 : sequential approach to rumour stance classification with branch-LSTM. In: International Workshop on Semantic Evaluation 2017 (SemEval-2017), Vancouver, Canada, 3-4 August 2017. Published in: Proceedings of the 11th International Workshop on Semantic Evaluations (SemEval-2017) pp. 466-471.
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WRAP-Turing-SemEval-2017-task 8-Kochkina-2017.pdf - Accepted Version - Requires a PDF viewer. Download (492Kb) | Preview |
Official URL: http://nlp.arizona.edu/SemEval-2017/program.html
Abstract
This paper describes team Turing’s submission to SemEval 2017 RumourEval: Determining rumour veracity and support for rumours (SemEval 2017 Task 8, Subtask A). Subtask A addresses the challenge of rumour stance classification, which involves identifying the attitude of Twitter users towards the truthfulness of the rumour they are discussing. Stance classification is considered to be an important step towards rumour verification, therefore performing well in this task is expected to be useful in debunking false rumours. In this work we classify a set of Twitter posts discussing rumours into either supporting, denying, questioning or commenting on the underlying rumours. We propose a LSTM-based sequential model that, through modelling the conversational structure of tweets, which achieves an accuracy of 0.784 on the RumourEval test set outperforming all other systems in Subtask A.
| Item Type: | Conference Item (Paper) | ||||||
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| Subjects: | Q Science > QA Mathematics | ||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||
| Library of Congress Subject Headings (LCSH): | Semantic computing, Twitter (Firm) -- Classification -- Computer programs | ||||||
| Journal or Publication Title: | Proceedings of the 11th International Workshop on Semantic Evaluations (SemEval-2017) | ||||||
| Publisher: | Association for Computational Linguistics | ||||||
| Official Date: | 3 April 2017 | ||||||
| Dates: |
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| Page Range: | pp. 466-471 | ||||||
| Status: | Peer Reviewed | ||||||
| Funder: | Turing Institute (Glasgow, Scotland), Engineering and Physical Sciences Research Council (EPSRC), Leverhulme Trust (LT) | ||||||
| Grant number: | EP/N510129/1 (EPSRC) | ||||||
| Conference Paper Type: | Paper | ||||||
| Title of Event: | International Workshop on Semantic Evaluation 2017 (SemEval-2017) | ||||||
| Type of Event: | Workshop | ||||||
| Location of Event: | Vancouver, Canada | ||||||
| Date(s) of Event: | 3-4 August 2017 | ||||||
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