In this paper, we introduce the new problem of extracting fine-grained
t...
Training deep neural networks on large datasets containing high-dimensio...
Fact Extraction and VERification (FEVER) is a recently introduced task w...
Solving math word problems is a cornerstone task in assessing language
u...
Graph convolutional neural networks (GCNNs) have received much attention...
Learning what to share between tasks has been a topic of high importance...
This paper introduces improved methods for sub-event detection in social...
Adversarial training (AT) is a regularization method that can be used to...
State-of-the-art models for joint entity recognition and relation extrac...
In this paper we develop a relatively simple and effective neural joint ...