Chinese-text-classification

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August undefined, 2024

WebThe methods based on the combination of word-level and character-level features can effectively boost performance on Chinese short text classification. A lot of works … WebApr 11, 2024 · The recognition of environmental patterns for traditional Chinese settlements (TCSs) is a crucial task for rural planning. Traditionally, this task primarily relies on manual operations, which are inefficient and time consuming. In this paper, we study the use of deep learning techniques to achieve automatic recognition of environmental patterns in TCSs …

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WebAbstract: In view of the fact that natural language has strong contextual dependence on sentence structure, but the existing Chinese short text classification algorithms often have problems such as sparse features, irregular words and massive data, a new chinese news classification model based on BERT and capsule network structure is proposed. First, … WebApr 14, 2024 · Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease caused by Dabie bandavirus (DBV), a novel Bandavirus in the family Phenuiviridae. The first case of SFTS was reported in China, followed by cases in Japan, South Korea, Taiwan and Vietnam. With clinical manifestations including fever, … poly quart bottles w screw-on lids in houston

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WebApr 6, 2024 · Bibliographic mapping and classification of relevant research studies will be essential for identifying research gaps and trends in literature. To qualitatively and quantitatively understand the CHO literature, we have conducted topic modeling using a CHO bioprocess bibliome manually compiled in 2016, and compared the topics … WebIn view of the fact that natural language has strong contextual dependence on sentence structure, but the existing Chinese short text classification algorithms Chinese Text … WebNov 25, 2024 · Owing to the uneven distribution of key features in Chinese texts, key features play different roles in text recognition in Chinese text classification tasks. We propose a feature-enhanced fusion model based on attention mechanism for Chinese text classification, a long short-term memory (LSTM) network, a convolutional neural … shannon and eve mingalone

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WebDec 29, 2024 · Short text classification, an important direction of the basic research of natural language processing, has extensive applications. Its effect depends on feature … WebNov 21, 2024 · Text normalization is a method for standardizing text to prepare it for the tokenization, vectorization and classification steps. With english, the first step would be to convert all text to lowercase. Because … shannon and heather slaughterWebOct 13, 2024 · We investigate the different fine-tuning methods for seven English and one Chinese text classification tasks. We use the base BERT models: the uncased BERT-base model Footnote 1 and the Chinese BERT-base model Footnote 2 respectively. 5.1 Datasets. We evaluate our approach on eight widely-studied datasets. These datasets … shannon anderson colorado springs

"WebJan 1, 2024 · Text classification. Dataset: We use TouTiao News Titles Classification (TNEWS), IFLYTEK app description classification (IFLYTEK), and Original Chinese NLI (OCNLI) as our benchmark datasets for text classification (Xu et al., 2024; Hu et al., 2024). Since we aim to evaluate the zero-shot ability of CPM on text classification tasks, we … " - Chinese-text-classification

Chinese-text-classification

WebMar 27, 2024 · Pull requests. Pytorch-NLU，一个中文文本分类、序列标注工具包，支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词等序列标注任务。. Ptorch NLU, a Chinese text classification and sequence annotation toolkit, …

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http://staff.ustc.edu.cn/~tongxu/ WebFeb 26, 2024 · For Chinese text classification, Lai et al. apply a recurrent structure to capture contextual information when learning word representations, which may introduce considerably less noise compared to traditional window-based neural networks. Finally, a max-pooling layer is employed to capture the key components in texts for the final …

WebThe Chinese Text Project (CTP; Chinese: 中國哲學書電子化計劃) is a digital library project that assembles collections of early Chinese texts. The name of the project in Chinese … WebMay 29, 2024 · Chinese Text Classification Method Based on BERT Word Embedding. Pages 66–71. Previous Chapter Next Chapter. ABSTRACT. In this paper, we enhance the semantic representation of the word through the BERT pre-training language model, dynamically generates the semantic vector according to the context of the character, and …

WebAug 26, 2024 · Text classification is one of the basic tasks of natural language processing. In recent years, deep learning has been widely used in text classification tasks. The representative one is the convolutional neural network. The convolutional neural network(CNN) is limited by the size of the local window and can only extract local … WebUsage. In Chinese, a numeral cannot usually quantify a noun by itself; instead, the language relies on classifiers, commonly also referred to as measure words. When a …

WebHanqing Tao, Shiwei Tong, Kun Zhang, Tong Xu, Qi Liu, Enhong Chen, Min Hou, Ideography Leads Us to the Field of Cognition: A Radical-guided Associative Model for Chinese Text Classification, In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI'21), Online, 2024, 13898-13906.

WebZhang et al. presented a short text classification algorithm for Chinese clinical medicine combining ALBERT pre-training model and graph attention network. 2.3. Multi-Task Learning. Multi-task Learning (MTL) refers to learning multiple tasks simultaneously, and neural networks generally allow the underlying network to simultaneously take into ... shannon anderson nbaWebHybrid attention networks for Chinese short text classification. Computacióny Sistemas 21, 4 (2024), 759--769. Google Scholar; Xiaobin Zhu, Zhuangzi Li, Xianbo Li, Shanshan Li, and Feng Dai. 2024. Attention-aware perceptual enhancement nets for low-resolution image classification. Information Sciences 515 (2024), 233--247. shannon and graham eye clinicWebWith the rapid growth of information retrieval technology, Chinese text classification, which is the basis of information content security, has become a widely discussed topic. In view of the huge difference compared with English, Chinese text task is more complex in semantic information representations. However, most existing Chinese text classification … polyquaternium-10 wikiWebFeb 24, 2024 · In this project, RoBERTa-wwm-ext [Cui et al., 2024] pre-train language model was adopted and fine-tuned for Chinese text classification. The models were … polypyrimidine tract finderWebFeb 1, 2024 · For better representing the Chinese text and then implementing Chinese text classification, we propose a novel Radicalaware Attention-based Four-Granularity (RAFG) model to take full advantages of ... polypyrimidine tract-binding protein 1WebAug 18, 2024 · The latest deep learning model for solving Chinese long text classification problem was proposed by Deng et al. in 2024, known as attention-based BiLSTM fused CNN with gating mechanism (ABLG-CNN) . The main frame of ABLG-CNN is a hybrid neural network constituted by BLSTM and CNN. The former is employed to extract … poly quart bottles w lids in houstonWebDec 29, 2024 · Text classification is a popular task of natural language processing. At present, text classification has been applied to multiple language like English, Chinese, Arabic et.al. However, Chinese text classification has many challenges especially in feature extraction and feature selection. This paper proposes the structure of ERNIE … polypyrimidine tract-binding protein 3