Adaptive inference is a simple method for reducing inference costs. The
...
The remarkable success of large transformer-based models such as BERT,
R...
While vector-based language representations from pretrained language mod...
Deep neural networks (DNNs) have shown much empirical success in solving...
Question-answer driven Semantic Role Labeling (QA-SRL) has been proposed...
High-frequency ultrasound (HFU) is well suited for imaging embryonic mic...
High-frequency ultrasound (HFU) is well suited for imaging embryonic mic...
We present ABSApp, a portable system for weakly-supervised aspect-based
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In this paper, we present a novel algorithm that combines multi-context ...
Volumetric analysis of brain ventricle (BV) structure is a key tool in t...
We present SetExpander, a corpus-based system for expanding a seed set o...
We present SetExpander, a corpus-based system for expanding a seed set o...
Previous studies by our group have shown that three-dimensional
high-fre...