Prompt-Learning for Semi-supervised Text Classification

Chengzhe Yuan; Zekai Zhou; Feiyi Tang; Ronghua Lin; Chengjie Mao; Luyao Teng

doi:10.1007/978-981-99-7254-8_3

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Prompt-Learning for Semi-supervised Text Classification

Chengzhe Yuan Zekai Zhou Feiyi Tang Ronghua Lin Chengjie Mao Luyao Teng

Year: 2023 Lecture notes in computer science Pages: 24-34 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-99-7254-8_3

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Keywords:

Computer science Benchmark (surveying) Artificial intelligence Machine learning Exploit Consistency (knowledge bases) Task (project management) Labeled data Variety (cybernetics) Process (computing)

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Topics

Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Topic Modeling

Physical Sciences → Computer Science → Artificial Intelligence

Natural Language Processing Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Prompt-Learning for Semi-supervised Text Classification

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