23 citations · 39 across the 4 of their papers we have counts for
8 papers
DropAttack: A Masked Weight Adversarial Training Method to Improve Generalization of Neural Networks
Shiwen Ni, Jiawen Li, Hung-Yu Kao
Adversarial training has been proven to be a powerful regularization method to improve the generalization of models. However, current adversarial training methods only attack the o…
Rumor Detection on Twitter Using Multiloss Hierarchical BiLSTM with an Attenuation Factor
Yudianto Sujana, Jiawen Li, Hung-Yu Kao
Social media platforms such as Twitter have become a breeding ground for unverified information or rumors. These rumors can threaten people's health, endanger the economy, and affe…
Fake News Detection as Natural Language Inference
Kai-Chou Yang, Timothy Niven, Hung-Yu Kao
This report describes the entry by the Intelligent Knowledge Management (IKM) Lab in the WSDM 2019 Fake News Classification challenge. We treat the task as natural language inferen…
Probing Neural Network Comprehension of Natural Language Arguments
Timothy Niven, Hung-Yu Kao
We are surprised to find that BERT's peak performance of 77% on the Argument Reasoning Comprehension Task reaches just three points below the average untrained human baseline. Howe…
SOC: hunting the underground inside story of the ethereum Social-network Opinion and Comment
TonTon Hsien-De Huang, Po-Wei Hong, Ying-Tse Lee +3
The cryptocurrency is attracting more and more attention because of the blockchain technology. Ethereum is gaining a significant popularity in blockchain community, mainly due to t…
NLITrans at SemEval-2018 Task 12: Transfer of Semantic Knowledge for Argument Comprehension
Tim Niven, Hung-Yu Kao
The Argument Reasoning Comprehension Task requires significant language understanding and complex reasoning over world knowledge. We focus on transfer of a sentence encoder to boot…