Given a controversial target such as “nuclear energy”, argument mining a...
The NL2SQL task involves parsing natural language statements into SQL
qu...
The success of deep learning models on multi-hop fact verification has
p...
In this paper, we introduce a simple and novel framework for one-shot
au...
The opaqueness of the multi-hop fact verification model imposes imperati...
Few-shot named entity recognition (NER) aims at identifying named entiti...
Fact verification is a challenging task that requires simultaneously
rea...
Emotion detection in dialogues is challenging as it often requires the
i...
Graph Neural Networks (GNNs) that capture the relationships between grap...
Advances on deep generative models have attracted significant research
i...
We propose a novel generative model to explore both local and global con...
With the development of cloud computing, service computing, IoT(Internet...
Opinion prediction on Twitter is challenging due to the transient nature...
Recent years have witnessed a surge of interests of using neural topic m...
In this paper, we propose a novel variational generator framework for
co...
To extract the structured representations of open-domain events, Bayesia...
Topic models are widely used for thematic structure discovery in text. B...