Label Semantic Aware Pre-training for Few-shot Text Classification

14 April 2022

Papers citing "Label Semantic Aware Pre-training for Few-shot Text Classification"

7 / 7 papers shown

Title
Pre-training Intent-Aware Encoders for Zero- and Few-Shot Intent Classification Mujeen Sung James Gung Elman Mansimov Nikolaos Pappas Raphael Shu Salvatore Romeo Yi Zhang Vittorio Castelli 33 7 0 24 May 2023
Mask-guided BERT for Few Shot Text Classification Wenxiong Liao Zheng Liu Haixing Dai Zihao Wu Yiyang Zhang ... Dajiang Zhu Tianming Liu Sheng Li Xiang Li Hongmin Cai VLM 47 39 0 21 Feb 2023
Zero-Shot Learners for Natural Language Understanding via a Unified Multiple Choice Perspective Ping Yang Junjie Wang Ruyi Gan Xinyu Zhu Lin Zhang Ziwei Wu Xinyu Gao Jiaxing Zhang Tetsuya Sakai BDL 22 25 0 16 Oct 2022
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,858 0 18 Apr 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 243 1,924 0 31 Dec 2020
Efficient Intent Detection with Dual Sentence Encoders I. Casanueva Tadas Temvcinas D. Gerz Matthew Henderson Ivan Vulić VLM 180 453 0 10 Mar 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,589 0 21 Jan 2020