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RAPS: A Novel Few-Shot Relation Extraction Pipeline with
  Query-Information Guided Attention and Adaptive Prototype Fusion

RAPS: A Novel Few-Shot Relation Extraction Pipeline with Query-Information Guided Attention and Adaptive Prototype Fusion

15 October 2022
Yuzhe Zhang
M. Cen
Tong Wu
Hong Zhang
ArXivPDFHTML

Papers citing "RAPS: A Novel Few-Shot Relation Extraction Pipeline with Query-Information Guided Attention and Adaptive Prototype Fusion"

3 / 3 papers shown
Title
MapRE: An Effective Semantic Mapping Approach for Low-resource Relation
  Extraction
MapRE: An Effective Semantic Mapping Approach for Low-resource Relation Extraction
Manqing Dong
Chunguang Pan
Zhipeng Luo
149
41
0
09 Sep 2021
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
Tianyu Gao
Xu Han
Hao Zhu
Zhiyuan Liu
Peng Li
Maosong Sun
Jie Zhou
205
244
0
16 Oct 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
329
11,684
0
09 Mar 2017
1