few-shot text classification

Discriminative Language Model as Semantic Consistency Scorer for Prompt-based Few-Shot Text Classification COLING 2024 FastFit: Fast and Effective Few-Shot Text Classification with a Multitude of Classes NAACL 2024 Label-Aware Automatic Verbalizer for Few-Shot Text Classification in Mid-To-Low Resource Languages ACL 2024 Multi-Scale Prompt Memory-Augmented Model for Black-Box Scenarios NAACL 2024 SuperST: Superficial Self-Training for Few-Shot Text Classification COLING 2024 Boosting Few-Shot Text Classification via Distribution Estimation AAAI 2023 Boosting Prompt-Based Self-Training With Mapping-Free Automatic Verbalizer for Multi-Class Classification EMNLP 2023 TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation ACL 2023 ASCM: An Answer Space Clustered Prompting Method without Answer Engineering ACL 2022 Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering EMNLP 2022 EICO: Improving Few-Shot Text Classification via Explicit and Implicit Consistency Regularization ACL 2022 Label Semantic Aware Pre-training for Few-shot Text Classification ACL 2022 Meta-learning Pathologies from Radiology Reports using Variance Aware Prototypical Networks EMNLP 2022 Noisy Channel Language Model Prompting for Few-Shot Text Classification ACL 2022 Prompt-Based Meta-Learning For Few-shot Text Classification EMNLP 2022 Distinct Label Representations for Few-Shot Text Classification ACL 2021 SALNet: Semi-supervised Few-Shot Text Classification with Attention-based Lexicon Construction AAAI 2021 Variance-reduced First-order Meta-learning for Natural Language Processing Tasks NAACL 2021 Dynamic Memory Induction Networks for Few-Shot Text Classification ACL 2020 Few-shot Text Classification with Distributional Signatures ICLR 2020 Hierarchical Attention Prototypical Networks for Few-Shot Text Classification EMNLP 2019