Chinese text classification by combining Chinese-BERTology-wwm and GCN [PDF]
PeerJ Computer Science, 2023 Text classification is an important and classic application in natural language processing (NLP). Recent studies have shown that graph neural networks (GNNs) are effective in tasks with rich structural relationships and serve as effective transductive ...
Xue Xu +3 more
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Chinese text dual attention network for aspect-level sentiment classification. [PDF]
PLoS ONEEnglish text has a clear and compact subject structure, which makes it easy to find dependency relationships between words. However, Chinese text often conveys information using situational settings, which results in loose sentence structures, and even ...
Xinjie Sun +4 more
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Adapting Feature Selection Algorithms for the Classification of Chinese Texts
Systems, 2023 Text classification has been highlighted as the key process to organize online texts for better communication in the Digital Media Age. Text classification establishes classification rules based on text features, so the accuracy of feature selection is ...
Xuan Liu +7 more
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A hybrid architecture for enhancing Chinese text processing using CNN and LLaMA2 [PDF]
Scientific ReportsIn the rapidly evolving field of natural language processing (NLP), the processing of the Chinese language, with its unique complexities, presents significant challenges, especially in the context of Large Language Models (LLMs) like LLaMA2.
Xize Liu +4 more
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N-grams based feature selection and text representation for Chinese Text Classification [PDF]
International Journal of Computational Intelligence Systems, 2009 In this paper, text representation and feature selection strategies for Chinese text classification based on n-grams are discussed. Two steps feature selection strategy is proposed which combines the preprocess within classes with the feature selection ...
Zhihua Wei +4 more
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A Novel Text Structure Feature Extractor for Chinese Scene Text Detection and Recognition
IEEE Access, 2017 Scene text information extraction plays an important role in many computer vision applications. Most features in existing text extraction algorithms are only applicable to one text extraction stage (text detection or recognition), which significantly ...
Xiaohang Ren +5 more
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A Long-Text Classification Method of Chinese News Based on BERT and CNN
IEEE Access, 2022 Text Classification is an important research area in natural language processing (NLP) that has received a considerable amount of scholarly attention in recent years.
Xinying Chen, Peimin Cong, Shuo Lv
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Chinese text classification method based on sentence information enhancement and feature fusion [PDF]
HeliyonText classification involves annotating text data with specific labels and is a crucial research task in the field of natural language processing. Chinese text classification presents significant challenges due to the complex semantics of the language ...
Binglin Zhu, Wei Pan
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Online Chinese and English Handwriting Recognition Method Based on Multiple Rules and Path Evaluation [PDF]
Jisuanji gongcheng, 2022 Handwritten text recognition is mainly used in text input technology, which plays a key role in the development of human-computer interaction.To address the lack of functionality for Chinese and English mixed handwritten text recognition in most online ...
FU Pengbin, LIU Penghui, YANG Huirong, DONG Aojing
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From miracle-play to carnival: Chinese New Year holidays in Bulgakov’s M.A. novella “The Fatal Eggs”
Неофилология, 2021 Chinese allusions of New Year and the Lantern Festival used by M.A. Bulgakov in the 6th chapter of the novella “The Fatal Eggs” are studied. White and black ritual magic, mythological images of Chinese agricultural calendar are considered from the ...
V. V. Kolchanov
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