MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text
Classification

MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text Classification

11 April 2022

Ji Zhang

Papers citing "MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text Classification"

5 / 5 papers shown

Title
FLEX: Unifying Evaluation for Few-Shot NLP Jonathan Bragg Arman Cohan Kyle Lo Iz Beltagy 199 104 0 15 Jul 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,918 0 31 Dec 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 317 11,681 0 09 Mar 2017
A Decomposable Attention Model for Natural Language Inference Ankur P. Parikh Oscar Täckström Dipanjan Das Jakob Uszkoreit 201 1,367 0 06 Jun 2016
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 255 13,364 0 25 Aug 2014