Commonsense Knowledge-Aware Prompt Tuning for Few-Shot NOTA Relation Classification

Commonsense Knowledge-Aware Prompt Tuning for Few-Shot NOTA Relation Classification

Compared with the traditional few-shot task, the few-shot none-of-the-above (NOTA) relation classification focuses on the realistic scenario of few-shot learning, in which a test instance might not belong to any of the target categories. This undoubtedly increases the task’s difficulty because given...

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Bibliographic Details
Main Authors: Bo Lv, Li Jin, Yanan Zhang, Hao Wang, Xiaoyu Li, Zhi Guo
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Applied Sciences
Subjects:
commonsense knowledge-aware prompt tuning
few-shot none-of-the-above relation classification
pre-trained language models
scoring strategy
Online Access:https://www.mdpi.com/2076-3417/12/4/2185

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