Chinese-text-classification
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 … WebAbstract: With 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 …
Chinese-text-classification
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WebFeb 1, 2024 · Corn is an important food crop worldwide, and its yield is directly related to Chinese food security. Accurate remote sensing extraction of corn can realize the rational application of land resources, which is of great significance to the sustainable development of modern agriculture. In the field of large-scale crop remote sensing classification, … WebHybrid 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.
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 …
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 ... 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, …
WebWith 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 …
WebComputación y Sistemas. To improve the classification performance for Chinese short text with automatic semantic feature selection, in this paper we propose the Hybrid Attention Networks (HANs) which combines the word- and character-level selective attentions. [] The model firstly applies RNN and CNN to extract the semantic features of texts. candy walnut recipe with brown sugarWebAug 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 … candy warehouse codeWebMar 1, 2024 · Chinese comments sentiment classification based on word2vec and SVMperf. Article. Oct 2014. EXPERT SYST APPL. Dongwen Zhang. Hua Xu. Zengcai Su. Yunfeng xu. View. candy wandsWebFeb 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 ... fishy slap your kneeWebThe 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 … candywarehouse.com incWebDec 1, 2024 · Text classification is a foundational task in many NLP applications. Traditional text classifiers often rely on many human-designed features, such as dictionaries, knowledge bases and special tree ... fishy smell after sex after hysterectomyWebNov 10, 2024 · For a text classification task, it is enough to use this embedding as an input for our classifier. We then pass the pooled_output variable into a linear layer with ReLU activation function. At the end of the linear layer, we have a vector of size 5, each corresponds to a category of our labels ( sport, business , politics, entertainment , and ... fishy smell after eating seafood