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FLERT: Document-Level Features for Named Entity Recognition

FLERT: Document-Level Features for Named Entity Recognition

13 November 2020
Stefan Schweter
A. Akbik
ArXivPDFHTML

Papers citing "FLERT: Document-Level Features for Named Entity Recognition"

6 / 6 papers shown
Title
Do "English" Named Entity Recognizers Work Well on Global Englishes?
Do "English" Named Entity Recognizers Work Well on Global Englishes?
Alexander Shan
John Bauer
Riley Carlson
Christopher D. Manning
25
2
0
20 Apr 2024
A Few-Shot Learning Focused Survey on Recent Named Entity Recognition
  and Relation Classification Methods
A Few-Shot Learning Focused Survey on Recent Named Entity Recognition and Relation Classification Methods
S. Alqaaidi
Elika Bozorgi
Afsaneh Shams
Krzysztof J. Kochut
DRL
30
0
0
29 Oct 2023
hmBERT: Historical Multilingual Language Models for Named Entity
  Recognition
hmBERT: Historical Multilingual Language Models for Named Entity Recognition
Stefan Schweter
Luisa März
Katharina Schmid
Erion cCano
38
18
0
31 May 2022
ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition
ITA: Image-Text Alignments for Multi-Modal Named Entity Recognition
Xinyu Wang
Min Gui
Yong-jia Jiang
Zixia Jia
Nguyen Bach
Tao Wang
Zhongqiang Huang
Fei Huang
Kewei Tu
33
52
0
13 Dec 2021
Introducing various Semantic Models for Amharic: Experimentation and
  Evaluation with multiple Tasks and Datasets
Introducing various Semantic Models for Amharic: Experimentation and Evaluation with multiple Tasks and Datasets
Seid Muhie Yimam
A. Ayele
Gopalakrishnan Venkatesh
Ibrahim Gashaw
Christian Biemann
20
27
0
02 Nov 2020
A disciplined approach to neural network hyper-parameters: Part 1 --
  learning rate, batch size, momentum, and weight decay
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay
L. Smith
202
1,019
0
26 Mar 2018
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