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Decoupling Representation and Knowledge for Few-Shot Intent
  Classification and Slot Filling

Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling

21 December 2023
Jie Han
Yixiong Zou
Yining Qi
Jun Wang
Wei Liu
Yao Wu
Tao Zhang
Ruixuan Li
    VLM
ArXivPDFHTML

Papers citing "Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling"

7 / 7 papers shown
Title
Learning to Bridge Metric Spaces: Few-shot Joint Learning of Intent
  Detection and Slot Filling
Learning to Bridge Metric Spaces: Few-shot Joint Learning of Intent Detection and Slot Filling
Yutai Hou
Y. Lai
Cheng Chen
Wanxiang Che
Ting Liu
43
13
0
25 May 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Xiang Lisa Li
Percy Liang
182
4,209
0
01 Jan 2021
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot
  Learners
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners
Timo Schick
Hinrich Schütze
90
970
0
15 Sep 2020
Coach: A Coarse-to-Fine Approach for Cross-domain Slot Filling
Coach: A Coarse-to-Fine Approach for Cross-domain Slot Filling
Zihan Liu
Genta Indra Winata
Peng Xu
Pascale Fung
60
96
0
24 Apr 2020
Meta-Transfer Learning for Few-Shot Learning
Meta-Transfer Learning for Few-Shot Learning
Qianru Sun
Yaoyao Liu
Tat-Seng Chua
Bernt Schiele
189
1,069
0
06 Dec 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
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
765
11,793
0
09 Mar 2017
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