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

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

Yutai Hou
Jiafeng Mao
Y. Lai
Cheng Chen
Wanxiang Che
Zhigang Chen
Ting Liu
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Papers citing "FewJoint: A Few-shot Learning Benchmark for Joint Language Understanding"

6 / 6 papers shown
Title
Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind
Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind
Mo Yu
Qiujing Wang
Shunchi Zhang
Yisi Sang
Kangsheng Pu
...
Han Wang
Liyan Xu
Jing Li
Yue Yu
Jie Zhou
41
19
0
09 Nov 2022
Few-Shot NLU with Vector Projection Distance and Abstract Triangular CRF
Few-Shot NLU with Vector Projection Distance and Abstract Triangular CRF
Su Zhu
Lu Chen
Ruisheng Cao
Zhi Chen
Qingliang Miao
Kai Yu
27
2
0
09 Dec 2021
Controllable Semantic Parsing via Retrieval Augmentation
Controllable Semantic Parsing via Retrieval Augmentation
Panupong Pasupat
Yuan Zhang
Kelvin Guu
132
47
0
16 Oct 2021
FLEX: Unifying Evaluation for Few-Shot NLP
FLEX: Unifying Evaluation for Few-Shot NLP
Jonathan Bragg
Arman Cohan
Kyle Lo
Iz Beltagy
208
104
0
15 Jul 2021
A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters
A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters
Mengjie Zhao
Yi Zhu
Ehsan Shareghi
Ivan Vulić
Roi Reichart
Anna Korhonen
Hinrich Schütze
32
64
0
31 Dec 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
211
244
0
16 Oct 2019