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FewJoint: A Few-shot Learning Benchmark for Joint Language Understanding

FewJoint: A Few-shot Learning Benchmark for Joint Language Understanding

17 September 2020
Yutai Hou
Jiafeng Mao
Y. Lai
Cheng Chen
Wanxiang Che
Zhigang Chen
Ting Liu
ArXivPDFHTML

Papers citing "FewJoint: A Few-shot Learning Benchmark for Joint Language Understanding"

17 / 17 papers shown
Title
Multi-task learning for natural language processing in the 2020s: where
  are we going?
Multi-task learning for natural language processing in the 2020s: where are we going?
Joseph Worsham
Jugal Kalita
AIMat
51
78
0
22 Jul 2020
Few-shot Slot Tagging with Collapsed Dependency Transfer and
  Label-enhanced Task-adaptive Projection Network
Few-shot Slot Tagging with Collapsed Dependency Transfer and Label-enhanced Task-adaptive Projection Network
Yutai Hou
Wanxiang Che
Y. Lai
Zhihan Zhou
Yijia Liu
Han Liu
Ting Liu
38
193
0
10 Jun 2020
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification
Tianyu Gao
Xu Han
Hao Zhu
Zhiyuan Liu
Peng Li
Maosong Sun
Jie Zhou
253
247
0
16 Oct 2019
Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over
  Few-Shot Relations
Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations
Xin Lv
Yuxian Gu
Xu Han
Lei Hou
Juan-Zi Li
Zhiyuan Liu
LRM
73
87
0
30 Aug 2019
Neural Snowball for Few-Shot Relation Learning
Neural Snowball for Few-Shot Relation Learning
Tianyu Gao
Xu Han
Ruobing Xie
Zhiyuan Liu
Fen Lin
Leyu Lin
Maosong Sun
78
79
0
29 Aug 2019
Few-shot Text Classification with Distributional Signatures
Few-shot Text Classification with Distributional Signatures
Yujia Bao
Menghua Wu
Shiyu Chang
Regina Barzilay
83
167
0
16 Aug 2019
Multi-Level Matching and Aggregation Network for Few-Shot Relation
  Classification
Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification
Zhiquan Ye
Zhenhua Ling
47
135
0
16 Jun 2019
TapNet: Neural Network Augmented with Task-Adaptive Projection for
  Few-Shot Learning
TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning
Sung Whan Yoon
Jun Seo
Jaekyun Moon
64
274
0
16 May 2019
BERT for Joint Intent Classification and Slot Filling
BERT for Joint Intent Classification and Slot Filling
Qian Chen
Zhu Zhuo
Wen Wang
VLM
71
553
0
28 Feb 2019
Induction Networks for Few-Shot Text Classification
Induction Networks for Few-Shot Text Classification
Ruiying Geng
Binhua Li
Yongbin Li
Xiao-Dan Zhu
Ping Jian
Jian Sun
96
186
0
27 Feb 2019
Few-Shot Generalization Across Dialogue Tasks
Few-Shot Generalization Across Dialogue Tasks
Vladimir Vlasov
Akela Drissner-Schmid
Alan Nichol
48
33
0
28 Nov 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
1.7K
94,729
0
11 Oct 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
55
215
0
19 May 2018
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
67
437
0
31 Jul 2017
Prototypical Networks for Few-shot Learning
Prototypical Networks for Few-shot Learning
Jake C. Snell
Kevin Swersky
R. Zemel
295
8,130
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
363
7,319
0
13 Jun 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.7K
150,006
0
22 Dec 2014
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