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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 3

Few-shot text classification based on question-oriented prompt-tuning

Zhai Mengxina
Zhou Yanlingb
Yu Hangb
a. School of Computer Science & Information Engineering, b. School of artificial intelligence, Hubei University, Wuhan 430062, China
DOI: 10.19734/j.issn.1001-3695.2024.07.0259

Abstract

In low-resource scenarios, prompt tuning has better classification performance than fine-tuning with additional classifiers, but it takes a lot of effort to design a better prompt template for the task. Aiming at this problem, this paper proposed a few-shot text classification method for question-oriented prompt tuning. Firstly, constructing template for question form using dataset labels and trainable continuous prompts, and the optimal prompt template learned from pre-trained models, Then, using the template filled in each input text, converted the text classification task into a cloze-filling task. Finally, using external knowledge and two refinement methods constructed verbalizer, and the final classification results obtained by the mapping relationship between the predicted label words and the classification labels. Experimentations on public datasets AG's News and IMDB, the results showed that the method improved its performance on 5-shot, 10-shot and 20-shot tasks, and the accuracy improved by 0.81 and 1.36 percentage points on the 5-shot task, which is not only easy to implement but also achieves the optimal performance compared with the baseline model.

Foundation Support

湖北省教育厅科学技术项目(D20221006)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.07.0259
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 3

Publish History

[2024-12-10] Accepted Paper

Cite This Article

翟梦鑫, 周艳玲, 余杭. 基于问题导向式提示调优小样本文本分类 [J]. 计算机应用研究, 2025, 42 (3). (2024-12-16). https://doi.org/10.19734/j.issn.1001-3695.2024.07.0259. (Zhai Mengxin, Zhou Yanling, Yu Hang. Few-shot text classification based on question-oriented prompt-tuning [J]. Application Research of Computers, 2025, 42 (3). (2024-12-16). https://doi.org/10.19734/j.issn.1001-3695.2024.07.0259. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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