Few-Shot Relation Classification

Few-Shot Relation Classification is a particular relation classification task under minimum annotated data, where a model is required to classify a new incoming query instance given only few support instances (e.g., 1 or 5) during testing.

<span class="description-source">Source: MICK: A Meta-Learning Framework for Few-shot Relation Classification with Little Training Data </span>