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Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect
  Category Detection

Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect Category Detection

9 October 2022
Fei Zhao
Yuchen Shen
Zhanghua Wu
Xinyu Dai
ArXivPDFHTML

Papers citing "Label-Driven Denoising Framework for Multi-Label Few-Shot Aspect Category Detection"

5 / 5 papers shown
Title
Label-Guided Prompt for Multi-label Few-shot Aspect Category Detection
Label-Guided Prompt for Multi-label Few-shot Aspect Category Detection
ChaoFeng Guan
Yaohui Zhu
Yu Bai
LingYun Wang
12
0
0
30 Jul 2024
Emotion-Anchored Contrastive Learning Framework for Emotion Recognition
  in Conversation
Emotion-Anchored Contrastive Learning Framework for Emotion Recognition in Conversation
Fangxu Yu
Junjie Guo
Zhen Wu
Xinyu Dai
27
7
0
29 Mar 2024
Few-Shot Multi-Label Aspect Category Detection Utilizing Prototypical
  Network with Sentence-Level Weighting and Label Augmentation
Few-Shot Multi-Label Aspect Category Detection Utilizing Prototypical Network with Sentence-Level Weighting and Label Augmentation
Zeyu Wang
M. Iwaihara
10
2
0
27 Sep 2023
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
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
243
11,659
0
09 Mar 2017
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