CFSE: a Chinese short text classification method based on character frequency sub-word enhancement by Xingguang Wang, Shunxiang Zhang, Zichen Ma, Yunduo Liu, Youqiang Zhang

Subjects: “…text classification…”
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A Novel Federated Learning-Based Image Classification Model for Improving Chinese Character Recognition Performance by Min-Sun Kim, Chang-Ho Son, Seoung-Ho Choi

Subjects: “…Chinese character recognition…”
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Hieroglyphic sign weakening mechanisms by Sergei G. Proskurin, Daria S. Lebedeva

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Focal CTC Loss for Chinese Optical Character Recognition on Unbalanced Datasets by Xinjie Feng, Hongxun Yao, Shengping Zhang

“…In this paper, we propose a novel deep model for unbalanced distribution Character Recognition by employing focal loss based connectionist temporal classification (CTC) function. …”
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Offline Handwritten Chinese Character Recognition Based on DBN and CNN Fusion Model by LI Lanying, ZHOU Zhigang, CHEN Deyun

“…Aiming at the problem that some offline handwritten Chinese characters are similar in shape and it is difficult to extract the feature of characters and the recognition is not accurate, a convolutional neural network and deep belief network fusion model is proposed Firstly, the convolutional neural network and the deep belief network are trained on the dataset respectively It is found that the comprehensive TOP-2 accuracy of the both can reach 99.33% Using the advantages of convolutional neural networks and deep belief networks in image analysis, a fusion comparison strategy is adopted to extract a classification result as accurately as possible in the TOP-2 classification of the two to improve the recognition ability The experimental results show that the fusion model of convolutional neural network and deep belief network has better recognition effect than convolutional neural network and deep belief network…”
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HiEE: Hierarchical feature fusion for Chinese event extraction by Shuxiang Hou, Yurong Qian, Jiaying Chen, Jigui Zhao, Huiyong Lv, Hongyong Leng

“…Subsequently, we propose HiEE, a novel Chinese event extraction model that combines hierarchical feature fusion and external semantic enhancement. …”
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SMFNet: One-Shot Recognition of Chinese Character Font Based on Siamese Metric Model by Fei Yan, Hua Zhang

“…This paper focuses on Chinese character font recognition and introduces a novel one-shot learning model SMFNet for Chinese character font recognition, by thoroughly analyzing the fundamental characteristics of Chinese characters. …”
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Automated crowdturfing attack in Chinese user reviews by Li’na WANG, Xiaodong GUO, Run WANG

“…The text-oriented automated crowdturfing attack has a series of features such as low attack cost and strong concealment.This kind of attack can automatically generate a large number of fake reviews,with harmful effect on the healthy development of the user review community.In recent years,researchers have found that text-oriented crowdturfing attacks for the English review community,but there was few research work on automated crowdsourcing attacks in the Chinese review community.A Chinese character embedding LSTM model was proposed to automatically generate Chinese reviews with the aim of antomated crowdturfing attacks,which model trained by a combination with Chinese character embedding network,LSTM network and softmax dense network,and a temperature parameter T was designed to construct the attack model.In the experiment,more than 50 000 real user reviews were crawled from Taobao's online review platform to verify the effectiveness of the attack method.Experimental results show that the generated fake reviews can effectively fool linguistics-based classification detection approach and texts plagiarism detection approach.Besides,the massive manually evaluation experiments also demonstrate that the generated reviews with the proposed attack approach perform well in reality and diversity.…”
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A Variant Character Dataset for Historical Narratives of Middle and Late Imperial China by Jiwon Lee, Youngim Jung

“…Computational analysis of Chinese historical narratives is hampered by the historical, regional, and orthographic diversity of classical Chinese characters. …”
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ERNIE-TextCNN: research on classification methods of Chinese news headlines in different situations by Yumin Yan

“…To rapidly extract deep features from news headlines and enhance the classification performance of extremely short Chinese news headlines, we delve into the inherent characteristics of news headline data, focusing on multi-domain news classification problems and studying datasets of different scales. …”
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Recognizing Digital Ink Chinese Characters Written by International Students Using a Residual Network with 1-Dimensional Dilated Convolution by Huafen Xu, Xiwen Zhang

“…Due to the complex nature of Chinese characters, junior international students often encounter writing problems related to strokes, components, and their combinations when writing Chinese characters. …”
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Chinese adversarial text generation method based on punctuation insertion by ZHANG Qian, YAN Qiao

“…A punctuation-based method for generating adversarial texts for Chinese text classification tasks was proposed. Under a black-box setting, a novel part-of-speech importance calculation was utilized and combined with punctuation insertion to design a character-level perturbation approach suitable for Chinese, achieving the generation of adversarial texts. …”
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EEG-Based Attention Classification for Enhanced Learning Experience by Madiha Khalid Syed, Hong Wang, Awais Ahmad Siddiqi, Shahnawaz Qureshi, Mohamed Amin Gouda

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A revised classification of Dryopteridaceae based on plastome phylogenomics and morphological evidence, with the description of a new genus, Pseudarachniodes by Zheng-Yu Zuo, Germinal Rouhan, Shi-Yong Dong, Hong-Mei Liu, Xin-Yu Du, Li-Bing Zhang, Jin-Mei Lu

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Comparative chloroplast genomes and phylogenetic analysis of the Phlegmariurus (Lycopodiaceae) from China and neighboring regions by Ruichen Xiang, Ruichen Xiang, Ruichen Xiang, Jiayu Hu, Jiayu Hu, Javzandolgor Chuluunbat, Javzandolgor Chuluunbat, Javzandolgor Chuluunbat, Javzandolgor Chuluunbat, Fei Wu, Fei Wu, Bo Qin, Xianchun Zhang, Xianchun Zhang, Rihong Jiang

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Ancient Character Recognition: A Comprehensive Review by R. Krithiga, S. R. Varsini, R. Gabriel Joshua, C. U. Om Kumar

“…Techniques such as CNN(OCR), ResNet, SVM, KNN, HorVer method, etc., are utilized to digitize Tamil characters. This technique has successfully converted handwritten characters into digitalized text for multiple languages, including Tamil, Arabic, English, Latin, Chinese, German, etc. …”
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Effect of Drying Method on Character and Quality of Chaenomeles sinensis (Thouin) Koehne Powder by Chao RU, Yiran WANG, Li QIU, Yanjun WANG, Zhenyu GUO, Guochu SHANG, Yuanbin WANG, Zhoumin LU

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Aesthetic Value Assessment Coupled with Landscape Character Assessment for Hengshan Mountain Scenic Area by Renjing ZHAO, Bingtai XING, Yuqian WANG

“…The stage of landscape character assessment mainly includes three steps: 1) Screening and classified identification of landscape character elements; 2) classification and mapping of landscape character; 3) translation and description of landscape character types. …”
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Clustering analysis of Yue opera character tone trends based on quantum particle swarm optimization for fuzzy C-means. by Yuhang Zhang, Xiaofeng Wu, Jiawei Xu, Zihao Ning, Xiao Han

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The Frame of Western Learning and the Systematicity of Chinese Translated Technical Terminology by Shen, Guowei

“…Systematicity, as seen in Linnaeus’s eighteenth-century classification, organises growing knowledge. China and Japan adopted Western science differently: Chinese actors used new characters, while Japan focused on synthesis. …”
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