Current state-of-the-art model-based reinforcement learning algorithms u...
A music piece is both comprehended hierarchically, from sonic events to
...
The date of the first performance of a play of Shakespeare's time must
u...
Having a comprehensive, high-quality dataset of road sign annotation is
...
In Artificial Intelligence we often seek to identify an unknown target
f...
In this paper, we present a novel approach for continuous operator
authe...
Document-level relation extraction (RE) poses new challenges compared to...
Document-level relation extraction is a challenging task which requires
...
Interpretable multi-hop reading comprehension (RC) over multiple documen...
Aspect-level sentiment classification aims to identify the sentiment pol...
Machine reading comprehension(MRC) has attracted significant amounts of
...
Materials science literature contains millions of materials synthesis
pr...
Leveraging new data sources is a key step in accelerating the pace of
ma...
DenseNets have been shown to be a competitive model among recent
convolu...
Computational synthesis planning approaches have achieved recent success...