24 citations · 61 across the 9 of their papers we have counts for
Showing 2019Show all
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cs.CL2019★ 7 cited
QAInfomax: Learning Robust Question Answering System by Mutual Information Maximization
Yi-Ting Yeh, Yun-Nung Chen
Standard accuracy metrics indicate that modern reading comprehension systems have achieved strong performance in many question answering datasets. However, the extent these systems…
cs.CL2019★ 13 cited
Reactive Multi-Stage Feature Fusion for Multimodal Dialogue Modeling
Yi-Ting Yeh, Tzu-Chuan Lin, Hsiao-Hua Cheng +3
Visual question answering and visual dialogue tasks have been increasingly studied in the multimodal field towards more practical real-world scenarios. A more challenging task, aud…
cs.CL2019★ 10 cited
FlowDelta: Modeling Flow Information Gain in Reasoning for Conversational Machine Comprehension
Yi-Ting Yeh, Yun-Nung Chen
Conversational machine comprehension requires deep understanding of the dialogue flow, and the prior work proposed FlowQA to implicitly model the context representations in reasoni…