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Unsupervised Label Refinement Improves Dataless Text Classification

Unsupervised Label Refinement Improves Dataless Text Classification

8 December 2020
Zewei Chu
K. Stratos
Kevin Gimpel
ArXivPDFHTML

Papers citing "Unsupervised Label Refinement Improves Dataless Text Classification"

5 / 5 papers shown
Title
Beyond Prompting: Making Pre-trained Language Models Better Zero-shot
  Learners by Clustering Representations
Beyond Prompting: Making Pre-trained Language Models Better Zero-shot Learners by Clustering Representations
Yu Fei
Ping Nie
Zhao Meng
Roger Wattenhofer
Mrinmaya Sachan
VLM
53
20
0
29 Oct 2022
Zero and Few-shot Learning for Author Profiling
Zero and Few-shot Learning for Author Profiling
Mara Chinea-Rios
Thomas Müller
Gretel Liz De la Pena Sarracén
Francisco Rangel
Marc Franco-Salvador
31
14
0
22 Apr 2022
Few-Shot Learning with Siamese Networks and Label Tuning
Few-Shot Learning with Siamese Networks and Label Tuning
Thomas Müller
Guillermo Pérez-Torró
Marc Franco-Salvador
VLM
28
38
0
28 Mar 2022
True Few-Shot Learning with Prompts -- A Real-World Perspective
True Few-Shot Learning with Prompts -- A Real-World Perspective
Timo Schick
Hinrich Schütze
VLM
27
64
0
26 Nov 2021
Description Based Text Classification with Reinforcement Learning
Description Based Text Classification with Reinforcement Learning
Duo Chai
Wei Wu
Qinghong Han
Fei Wu
Jiwei Li
VLM
121
66
0
08 Feb 2020
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