@inproceedings{singh-etal-2017-iitp,
title = "{IITP} at {S}em{E}val-2017 Task 8 : A Supervised Approach for Rumour Evaluation",
author = "Singh, Vikram and
Narayan, Sunny and
Akhtar, Md Shad and
Ekbal, Asif and
Bhattacharyya, Pushpak",
editor = "Bethard, Steven and
Carpuat, Marine and
Apidianaki, Marianna and
Mohammad, Saif M. and
Cer, Daniel and
Jurgens, David",
booktitle = "Proceedings of the 11th International Workshop on Semantic Evaluation ({S}em{E}val-2017)",
month = aug,
year = "2017",
address = "Vancouver, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/S17-2087",
doi = "10.18653/v1/S17-2087",
pages = "497--501",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings
%T IITP at SemEval-2017 Task 8 : A Supervised Approach for Rumour Evaluation
%A Singh, Vikram
%A Narayan, Sunny
%A Akhtar, Md Shad
%A Ekbal, Asif
%A Bhattacharyya, Pushpak
%Y Bethard, Steven
%Y Carpuat, Marine
%Y Apidianaki, Marianna
%Y Mohammad, Saif M.
%Y Cer, Daniel
%Y Jurgens, David
%S Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
%D 2017
%8 August
%I Association for Computational Linguistics
%C Vancouver, Canada
%F singh-etal-2017-iitp
%X 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.
%R 10.18653/v1/S17-2087
%U https://aclanthology.org/S17-2087
%U https://doi.org/10.18653/v1/S17-2087
%P 497-501
Markdown (Informal)
[IITP at SemEval-2017 Task 8 : A Supervised Approach for Rumour Evaluation](https://aclanthology.org/S17-2087) (Singh et al., SemEval 2017)
ACL