38 citations · 118 across the 14 of their papers we have counts for
14 papers
MVAN: Multi-View Attention Networks for Fake News Detection on Social Media
Shiwen Ni, Jiawen Li, Hung-Yu Kao
Fake news on social media is a widespread and serious problem in today's society. Existing fake news detection methods focus on finding clues from Long text content, such as origin…
ELECTRA is a Zero-Shot Learner, Too
Shiwen Ni, Hung-Yu Kao
Recently, for few-shot or even zero-shot learning, the new paradigm "pre-train, prompt, and predict" has achieved remarkable achievements compared with the "pre-train, fine-tune" p…
True or False: Does the Deep Learning Model Learn to Detect Rumors?
Shiwen Ni, Jiawen Li, Hung-Yu Kao
It is difficult for humans to distinguish the true and false of rumors, but current deep learning models can surpass humans and achieve excellent accuracy on many rumor datasets. I…
HAT4RD: Hierarchical Adversarial Training for Rumor Detection on Social Media
Shiwen Ni, Jiawen Li, Hung-Yu Kao
With the development of social media, social communication has changed. While this facilitates people's communication and access to information, it also provides an ideal platform…
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…
Meet The Truth: Leverage Objective Facts and Subjective Views for Interpretable Rumor Detection
Jiawen Li, Shiwen Ni, Hung-Yu Kao
Existing rumor detection strategies typically provide detection labels while ignoring their explanation. Nonetheless, providing pieces of evidence to explain why a suspicious tweet…
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…
C-3PO: Click-sequence-aware DeeP Neural Network (DNN)-based Pop-uPs RecOmmendation
TonTon Hsien-De Huang, Hung-Yu Kao
With the emergence of mobile and wearable devices, push notification becomes a powerful tool to connect and maintain the relationship with App users, but sending inappropriate or t…
Data-Driven and Deep Learning Methodology for Deceptive Advertising and Phone Scams Detection
TonTon Hsien-De Huang, Chia-Mu Yu, Hung-Yu Kao
The advance of smartphones and cellular networks boosts the need of mobile advertising and targeted marketing. However, it also triggers the unseen security threats. We found that…
R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD Malware Detections
TonTon Hsien-De Huang, Hung-Yu Kao
The influence of Deep Learning on image identification and natural language processing has attracted enormous attention globally. The convolution neural network that can learn with…