Search Results for author: Shih-Hong Tsai

Found 3 papers, 0 papers with code

A Flexible and Extensible Framework for Multiple Answer Modes Question Answering

no code implementations ROCLING 2021 Cheng-Chung Fan, Chia-Chih Kuo, Shang-Bao Luo, Pei-Jun Liao, Kuang-Yu Chang, Chiao-Wei Hsu, Meng-Tse Wu, Shih-Hong Tsai, Tzu-Man Wu, Aleksandra Smolka, Chao-Chun Liang, Hsin-Min Wang, Kuan-Yu Chen, Yu Tsao, Keh-Yih Su

Only a few of them adopt several answer generation modules for providing different mechanisms; however, they either lack an aggregation mechanism to merge the answers from various modules, or are too complicated to be implemented with neural networks.

Question Answering

Customizing an Adversarial Example Generator with Class-Conditional GANs

no code implementations27 Jun 2018 Shih-Hong Tsai

Adversarial examples are intentionally crafted data with the purpose of deceiving neural networks into misclassification.

Adversarial Defense

A Meaning-based English Math Word Problem Solver with Understanding, Reasoning and Explanation

no code implementations COLING 2016 Chao-Chun Liang, Shih-Hong Tsai, Ting-Yun Chang, Yi-Chung Lin, Keh-Yih Su

This paper presents a meaning-based statistical math word problem (MWP) solver with understanding, reasoning and explanation.

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