ResearchTrend.AI
Deep Active Learning for Sequence Labeling Based on Diversity and Uncertainty in Gradient

Deep Active Learning for Sequence Labeling Based on Diversity and Uncertainty in Gradient

Yekyung Kim
ArXiv (abs)PDFHTML

Papers citing "Deep Active Learning for Sequence Labeling Based on Diversity and Uncertainty in Gradient"

6 / 6 papers shown
Title
Few-shot Named Entity Recognition via Superposition Concept Discrimination
Few-shot Named Entity Recognition via Superposition Concept Discrimination
Jiawei Chen
Hongyu Lin
Xianpei Han
Yaojie Lu
Shanshan Jiang
Bin Dong
Le Sun
64
2
0
25 Mar 2024
Surfing the modeling of PoS taggers in low-resource scenarios
Surfing the modeling of PoS taggers in low-resource scenarios
M. Ferro
V. Darriba
F. J. Ribadas
J. G. Gil
48
0
0
04 Feb 2024
NLU on Data Diets: Dynamic Data Subset Selection for NLP Classification Tasks
NLU on Data Diets: Dynamic Data Subset Selection for NLP Classification Tasks
Jean-Michel Attendu
Jean-Philippe Corbeil
88
16
0
05 Jun 2023
Actively Discovering New Slots for Task-oriented Conversation
Actively Discovering New Slots for Task-oriented Conversation
Yuxia Wu
Tianhao Dai
Zhedong Zheng
Lizi Liao
70
1
0
06 May 2023
A Survey of Active Learning for Natural Language Processing
A Survey of Active Learning for Natural Language Processing
Zhisong Zhang
Emma Strubell
Eduard H. Hovy
LM&MA
102
68
0
18 Oct 2022
FAMIE: A Fast Active Learning Framework for Multilingual Information Extraction
FAMIE: A Fast Active Learning Framework for Multilingual Information Extraction
Minh Le Nguyen
Nghia Trung Ngo
Bonan Min
Thien Huu Nguyen
73
11
0
16 Feb 2022