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

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

8 / 8 papers shown

Title
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 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 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 Xin Lv Yuxian Gu Xu Han Lei Hou Juan-Zi Li Zhiyuan Liu LRM 73 87 0 30 Aug 2019
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 Sung Whan Yoon Jun Seo Jaekyun Moon 64 274 0 16 May 2019
Reporting Score Distributions Makes a Difference: Performance Study of LSTM-networks for Sequence Tagging Nils Reimers Iryna Gurevych 67 437 0 31 Jul 2017
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 359 7,319 0 13 Jun 2016