Zhao-Yang Liu

Fixing paper assignments

  1. Please select all papers that belong to the same person.
  2. Indicate below which author they should be assigned to.
Provide a valid ORCID iD here. This will be used to match future papers to this author.
Provide the name of the school or the university where the author has received or will receive their highest degree (e.g., Ph.D. institution for researchers, or current affiliation for students). This will be used to form the new author page ID, if needed.

TODO: "submit" and "cancel" buttons here

2017

pdf bib
IKM at SemEval-2017 Task 8: Convolutional Neural Networks for stance detection and rumor verification
Yi-Chin Chen | Zhao-Yang Liu | Hung-Yu Kao
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)

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.
Search
Co-authors
Venues
Fix data