IITP at SemEval-2017 Task 8 : A Supervised Approach for Rumour Evaluation
Vikram Singh, Sunny Narayan, Md Shad Akhtar, Asif Ekbal, Pushpak Bhattacharyya
Abstract
This paper describes our system participation in the SemEval-2017 Task 8 ‘RumourEval: Determining rumour veracity and support for rumours’. The objective of this task was to predict the stance and veracity of the underlying rumour. We propose a supervised classification approach employing several lexical, content and twitter specific features for learning. Evaluation shows promising results for both the problems.- Anthology ID:
- S17-2087
- Volume:
- Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
- Month:
- August
- Year:
- 2017
- Address:
- Vancouver, Canada
- Editors:
- Steven Bethard, Marine Carpuat, Marianna Apidianaki, Saif M. Mohammad, Daniel Cer, David Jurgens
- Venue:
- SemEval
- SIG:
- SIGLEX
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 497–501
- Language:
- URL:
- https://aclanthology.org/S17-2087
- DOI:
- 10.18653/v1/S17-2087
- Cite (ACL):
- Vikram Singh, Sunny Narayan, Md Shad Akhtar, Asif Ekbal, and Pushpak Bhattacharyya. 2017. IITP at SemEval-2017 Task 8 : A Supervised Approach for Rumour Evaluation. In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017), pages 497–501, Vancouver, Canada. Association for Computational Linguistics.
- Cite (Informal):
- IITP at SemEval-2017 Task 8 : A Supervised Approach for Rumour Evaluation (Singh et al., SemEval 2017)
- PDF:
- https://preview.aclanthology.org/proper-vol2-ingestion/S17-2087.pdf