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A Robust and Domain-Adaptive Approach for Low-Resource Named Entity
  Recognition

A Robust and Domain-Adaptive Approach for Low-Resource Named Entity Recognition

2 January 2021
Houjin Yu
Xian-Ling Mao
Zewen Chi
Wei Wei
Heyan Huang
ArXivPDFHTML

Papers citing "A Robust and Domain-Adaptive Approach for Low-Resource Named Entity Recognition"

3 / 3 papers shown
Title
Win-Win Cooperation: Bundling Sequence and Span Models for Named Entity
  Recognition
Win-Win Cooperation: Bundling Sequence and Span Models for Named Entity Recognition
Bin Ji
Shasha Li
Jie Yu
Jun Ma
Huijun Liu
27
2
0
07 Jul 2022
AMMU : A Survey of Transformer-based Biomedical Pretrained Language
  Models
AMMU : A Survey of Transformer-based Biomedical Pretrained Language Models
Katikapalli Subramanyam Kalyan
A. Rajasekharan
S. Sangeetha
LM&MA
MedIm
28
164
0
16 Apr 2021
Span-based Joint Entity and Relation Extraction with Transformer
  Pre-training
Span-based Joint Entity and Relation Extraction with Transformer Pre-training
Markus Eberts
A. Ulges
LRM
ViT
164
381
0
17 Sep 2019
1