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Few-Shot Sequence Labeling with Label Dependency Transfer and Pair-wise
  Embedding

Few-Shot Sequence Labeling with Label Dependency Transfer and Pair-wise Embedding

20 June 2019
Yutai Hou
Zhihan Zhou
Yijia Liu
Ning Wang
Wanxiang Che
Han Liu
Ting Liu
ArXivPDFHTML

Papers citing "Few-Shot Sequence Labeling with Label Dependency Transfer and Pair-wise Embedding"

13 / 13 papers shown
Title
Few-shot classification in Named Entity Recognition Task
Few-shot classification in Named Entity Recognition Task
Alexander Fritzler
V. Logacheva
M. Kretov
44
199
0
14 Dec 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.2K
93,936
0
11 Oct 2018
Snips Voice Platform: an embedded Spoken Language Understanding system
  for private-by-design voice interfaces
Snips Voice Platform: an embedded Spoken Language Understanding system for private-by-design voice interfaces
A. Coucke
Alaa Saade
Adrien Ball
Théodore Bluche
A. Caulier
...
Thibault Gisselbrecht
F. Caltagirone
Thibaut Lavril
Maël Primet
Joseph Dureau
SyDa
105
818
0
25 May 2018
Diverse Few-Shot Text Classification with Multiple Metrics
Diverse Few-Shot Text Classification with Multiple Metrics
Mo Yu
Xiaoxiao Guo
Jinfeng Yi
Shiyu Chang
Saloni Potdar
Yu Cheng
Gerald Tesauro
Haoyu Wang
Bowen Zhou
46
215
0
19 May 2018
Deep contextualized word representations
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
139
11,520
0
15 Feb 2018
Learning to Compare: Relation Network for Few-Shot Learning
Learning to Compare: Relation Network for Few-Shot Learning
Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Philip Torr
Timothy M. Hospedales
237
4,035
0
16 Nov 2017
Reporting Score Distributions Makes a Difference: Performance Study of
  LSTM-networks for Sequence Tagging
Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging
Nils Reimers
Iryna Gurevych
56
435
0
31 Jul 2017
Transfer Learning for Sequence Tagging with Hierarchical Recurrent
  Networks
Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks
Zhilin Yang
Ruslan Salakhutdinov
William W. Cohen
40
351
0
18 Mar 2017
Prototypical Networks for Few-shot Learning
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
243
8,072
0
15 Mar 2017
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
318
7,299
0
13 Jun 2016
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
Xuezhe Ma
Eduard H. Hovy
87
2,643
0
04 Mar 2016
Bidirectional LSTM-CRF Models for Sequence Tagging
Bidirectional LSTM-CRF Models for Sequence Tagging
Zhiheng Huang
Wenyuan Xu
Kai Yu
169
3,999
0
09 Aug 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.1K
149,474
0
22 Dec 2014
1