Papers with Few-shot Relation Extraction

1 papers
Learn from Relation Information: Towards Prototype Representation Rectification for Few-Shot Relation Extraction (2022.findings-naacl)

Copied to clipboard

Challenge: Existing methods for Few-shot Relation Extraction focus on implicitly introducing relation information to constrain the prototype representation learning.
Approach: They propose a parameter-less method to promote few-shot relation extraction . they use a prototype rectification module to rectify original prototypes by relation information .
Outcome: The proposed method achieves state-of-the-art on fewRel 1.0 and 2.0 datasets.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations