Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs

1 code implementation • EMNLP 2020 • Jueqing Lu, Lan Du, Ming Liu, Joanna Dipnall

Few/Zero-shot learning is a big challenge of many classifications tasks, where a classifier is required to recognise instances of classes that have very few or even no training samples.

Document Classification General Classification +3