Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation

Understand

Nowadays, neural networks play an important role in the task of relation classification.

• By designing different neural architectures, researchers have improved the performance to a large extent in comparison with traditional methods.
• However, existing neural networks for relation classification are usually of shallow architectures (e.g., one-layer convolutional neural networks or recurrent networks).
• They may fail to explore the potential representation space in different abstraction levels.