IKM at SemEval-2017 Task 8: Convolutional Neural Networks for stance detection and rumor verification
Year: 2017
Type: conference-paper
Abstract: This paper describes our approach for SemEval-2017 Task 8. We aim at detecting the stance of tweets and determining the veracity of the given rumor. We utilize a convolutional neural network for short text categorization using multiple filter sizes. Our approach beats the baseline classifiers on different event data with good F1 scores. The best of our submitted runs achieves rank 1st among all scores on subtask B.
DOI: 10.18653/v1/s17-2081
Authors: Yi-Chin Chen, Zhao-Yang Liu, Hung-Yu Kao
Institution: National Cheng Kung University
Language: English
Subfield: Sociology and Political Science
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W2753727548