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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
Haozhao Wang
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"

3 / 3 papers shown
Title
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
241
1,918
0
31 Dec 2020
A Stack-Propagation Framework with Token-Level Intent Detection for
  Spoken Language Understanding
A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding
Libo Qin
Wanxiang Che
Yangming Li
Haoyang Wen
Ting Liu
41
260
0
05 Sep 2019
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
281
11,681
0
09 Mar 2017
1