204 citations · 344 across the 21 of their papers we have counts for
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cs.CL2019
Two-Headed Monster And Crossed Co-Attention Networks
Yaoyiran Li, Jing Jiang
This paper presents some preliminary investigations of a new co-attention mechanism in neural transduction models. We propose a paradigm, termed Two-Headed Monster (THM), which con…
cs.CL2019★ 31 cited
What does BERT Learn from Multiple-Choice Reading Comprehension Datasets?
Chenglei Si, Shuohang Wang, Min-Yen Kan +1
Multiple-Choice Reading Comprehension (MCRC) requires the model to read the passage and question, and select the correct answer among the given options. Recent state-of-the-art mod…
cs.CV2019★ 6 cited
U-Net Based Multi-instance Video Object Segmentation
Heguang Liu, Jingle Jiang
Multi-instance video object segmentation is to segment specific instances throughout a video sequence in pixel level, given only an annotated first frame. In this paper, we impleme…