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Few-shot Learning for Multi-label Intent Detection

Few-shot Learning for Multi-label Intent Detection

11 October 2020
Yutai Hou
Y. Lai
Yushan Wu
Wanxiang Che
Ting Liu
    VLM
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Papers citing "Few-shot Learning for Multi-label Intent Detection"

5 / 5 papers shown
Title
Knowledge-Enhanced Multi-Label Few-Shot Product Attribute-Value
  Extraction
Knowledge-Enhanced Multi-Label Few-Shot Product Attribute-Value Extraction
Jiaying Gong
Wei-Te Chen
Hoda Eldardiry
VLM
13
6
0
16 Aug 2023
Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect
  Category Detection
Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect Category Detection
Fei Zhao
Yuchen Shen
Zhanghua Wu
Xinyu Dai
33
11
0
09 Oct 2022
NLU++: A Multi-Label, Slot-Rich, Generalisable Dataset for Natural
  Language Understanding in Task-Oriented Dialogue
NLU++: A Multi-Label, Slot-Rich, Generalisable Dataset for Natural Language Understanding in Task-Oriented Dialogue
I. Casanueva
Ivan Vulić
Georgios P. Spithourakis
Paweł Budzianowski
25
10
0
27 Apr 2022
Multi-Label Few-Shot Learning for Aspect Category Detection
Multi-Label Few-Shot Learning for Aspect Category Detection
Mengting Hu
Shiwan Zhao
Honglei Guo
Chao Xue
H. Gao
Tiegang Gao
Renhong Cheng
Zhong Su
11
39
0
29 May 2021
A Survey on Spoken Language Understanding: Recent Advances and New
  Frontiers
A Survey on Spoken Language Understanding: Recent Advances and New Frontiers
Libo Qin
Tianbao Xie
Wanxiang Che
Ting Liu
VLM
21
89
0
04 Mar 2021
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