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Learning Relation Prototype from Unlabeled Texts for Long-tail Relation
  Extraction

Learning Relation Prototype from Unlabeled Texts for Long-tail Relation Extraction

27 November 2020
Yixin Cao
Jun Kuang
Ming Gao
Aoying Zhou
Yonggang Wen
Tat-Seng Chua
ArXivPDFHTML

Papers citing "Learning Relation Prototype from Unlabeled Texts for Long-tail Relation Extraction"

4 / 4 papers shown
Title
SememeLM: A Sememe Knowledge Enhanced Method for Long-tail Relation
  Representation
SememeLM: A Sememe Knowledge Enhanced Method for Long-tail Relation Representation
Shuyi Li
Shaojuan Wu
Xiaowang Zhang
Zhiyong Feng
39
0
0
13 Jun 2024
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot
  Learning for Structured Data
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data
Yang Hu
Adriane P. Chapman
Guihua Wen
Dame Wendy Hall
34
24
0
11 Jun 2021
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint
  Graphs
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs
Tianming Liang
Yang Liu
Xiaoyan Liu
Hao Zhang
Gaurav Sharma
Maozu Guo
12
22
0
24 May 2021
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
31,253
0
16 Jan 2013
1