Few-Shot Text Classification via Semi-Supervised Contrastive Learning-Reference-Cited by-同舟云学术

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Few-Shot Text Classification via Semi-Supervised Contrastive Learning

Published:2022-03 Issue: Volume: Page:
ISSN:
Container-title:2022 4th International Conference on Natural Language Processing (ICNLP)
language:
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Author:

Wang Fei¹,Chen Long¹,Xie Fei²,Xu Cai³,Lu Guangyue¹

Affiliation:

1. Xi’an University of Posts and Telecommunications,School of Communication and Information Engineering,Xi’an,China,710121

2. Xidian University,Academy of Advanced Interdisciplinary Research,Xi’an,China,710071

3. Xidian University,School of Computer Science and Technology,Xi’an,China,710071

Funder

National Natural Science Foundation of China

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9885795/9885816/09885861.pdf?arnumber=9885861

Reference33 articles.

1. A Sentiment Classification Method of Web Social Media Based on Multi-dimension and Multi-level Modeling[J];wang;IEEE Transactions on Industrial Informatics,2021

2. Weakly-Supervised Deep Learning for Customer Review Sentiment Classification [C];ziyu;IJCAI,0

3. Baselines and bigrams: Simple, Good Sentiment and Topic Classification [C];wang;Proceedings annual meeting of the Association for Computational Linguistics,2012

4. An Unsupervised Neural Attention Model for Aspect Extraction

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