24 citations · 25 across the 2 of their papers we have counts for
7 papers
Report from the NSF Future Directions Workshop on Automatic Evaluation of Dialog: Research Directions and Challenges
Shikib Mehri, Jinho Choi, Luis Fernando D'Haro +13
This is a report on the NSF Future Directions Workshop on Automatic Evaluation of Dialog. The workshop explored the current state of the art along with its limitations and suggeste…
Are you doing what I say? On modalities alignment in ALFRED
Ting-Rui Chiang, Yi-Ting Yeh, Ta-Chung Chi +1
ALFRED is a recently proposed benchmark that requires a model to complete tasks in simulated house environments specified by instructions in natural language. We hypothesize that k…
A Comprehensive Assessment of Dialog Evaluation Metrics
Yi-Ting Yeh, Maxine Eskenazi, Shikib Mehri
Automatic evaluation metrics are a crucial component of dialog systems research. Standard language evaluation metrics are known to be ineffective for evaluating dialog. As such, re…
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…
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…
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…