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Self-Supervised Meta-Learning for Few-Shot Natural Language
  Classification Tasks
v1v2 (latest)

Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
17 September 2020
Trapit Bansal
Rishikesh Jha
Tsendsuren Munkhdalai
Andrew McCallum
    SSLVLM
ArXiv (abs)PDFHTML

Papers citing "Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks"

4 / 54 papers shown
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot LearnersAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Tianyu Gao
Adam Fisch
Danqi Chen
839
2,184
0
31 Dec 2020
Few-Shot Named Entity Recognition: A Comprehensive Study
Few-Shot Named Entity Recognition: A Comprehensive Study
Jiaxin Huang
Chunyuan Li
K. Subudhi
Damien Jose
S. Balakrishnan
Weizhu Chen
Baolin Peng
Jianfeng Gao
Jiawei Han
244
82
0
29 Dec 2020
A Survey on Recent Approaches for Natural Language Processing in
  Low-Resource Scenarios
A Survey on Recent Approaches for Natural Language Processing in Low-Resource ScenariosNorth American Chapter of the Association for Computational Linguistics (NAACL), 2020
Michael A. Hedderich
Lukas Lange
Heike Adel
Jannik Strötgen
Dietrich Klakow
659
348
0
23 Oct 2020
Data-Efficient Pretraining via Contrastive Self-Supervision
Data-Efficient Pretraining via Contrastive Self-Supervision
Nils Rethmeier
Isabelle Augenstein
460
22
0
02 Oct 2020
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