Few-Shot Relation Classification Research Based on Prototypical Network and Causal Intervention

Few-Shot Relation Classification Research Based on Prototypical Network and Causal Intervention

To improve the accuracy of the few-shot relation classification task, the research, which weakens the influence of confounder on the performance of the model and enhances the semantic representation and feature extraction ability of the model, is carried out based on the prototypical network. And th...

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Bibliographic Details
Main Authors: Zhiming Li, Feifan Ouyang, Chunlong Zhou, Yihao He, Limin Shen
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Few-shot learning
causal intervention
prototypical network
relation classification
RoBERTa
confounder
Online Access:https://ieeexplore.ieee.org/document/9750943/

Internet

https://ieeexplore.ieee.org/document/9750943/

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