@InProceedings{chen-liu-kao:2017:SemEval,
  author    = {Chen, Yi-Chin  and  Liu, Zhao-Yang  and  Kao, Hung-Yu},
  title     = {IKM at SemEval-2017 Task 8: Convolutional Neural Networks for stance detection and rumor verification},
  booktitle = {Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)},
  month     = {August},
  year      = {2017},
  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {465--469},
  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.},
  url       = {http://www.aclweb.org/anthology/S17-2081}
}