Recent works have shown explainability and robustness are two crucial ingredients of trustworthy and reliable text classification.
To classify images, neural networks extract features from raw inputs and then sum them up with fixed weights via the fully connected layer.
We model the question answering on KG as a cooperative task between two agents, a knowledge graph reasoning agent and an information extraction agent.
As the ongoing rapid urbanization takes place with an ever-increasing speed, fully modeling urban dynamics becomes more and more challenging, but also a necessity for socioeconomic development.
Answering complex questions involving multiple entities and relations is a challenging task.