$k$-Nearest Neighbor Augmented Neural Networks for Text Classification

Understand

In recent years, many deep-learning based models are proposed for text classification.

• This kind of models well fits the training set from the statistical point of view.
• However, it lacks the capacity of utilizing instance-level information from individual instances in the training set.
• In this work, we propose to enhance neural network models by allowing them to leverage information from $k$-nearest neighbor (kNN) of the input text.