Multi-schema prompting powered token-feature woven attention network for short text classification-Reference-Cited by-同舟云学术

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Multi-schema prompting powered token-feature woven attention network for short text classification

Published:2024-12 Issue: Volume:156 Page:110782
ISSN:0031-3203
Container-title:Pattern Recognition
language:en
Short-container-title:Pattern Recognition

Author:

Cai Zijing^ORCID,Zhang Hua^ORCID,Zhan Peiqian,Jia Xiaohui,Yan Yongjian,Song Xiawen^ORCID,Xie Bo

Publisher

Elsevier BV

Reference46 articles.

1. Well-calibrated confidence measures for multi-label text classification with a large number of labels;Maltoudoglou;Pattern. Recognit.,2022

2. A survey on text classification: from traditional to deep learning;Li;ACM Trans. Intell. Syst. Technol.,2022

3. Leveraging symbolic knowledge bases for commonsense natural language inference using pattern theory;Aakur;IEEe Trans. Pattern. Anal. Mach. Intell.,2023

4. MoCA: Incorporating domain pretraining and cross attention for textbook question answering;Xu;Pattern. Recognit.,2023

5. TETFN: a text enhanced transformer fusion network for multimodal sentiment analysis;Wang;Pattern. Recognit.,2023

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