Results 31 to 40 of about 44,658,676 (284)
Sub-Character Tokenization for Chinese Pretrained Language Models
Transactions of the Association for Computational Linguistics, 2023 Tokenization is fundamental to pretrained language models (PLMs). Existing tokenization methods for Chinese PLMs typically treat each character as an indivisible token.
Chenglei Si +8 more
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Topic-based automatic summarization algorithm for Chinese short text
Mathematical Biosciences and Engineering, 2020 <abstract> <p>Most current automatic summarization methods are for English texts. The distinction between words in Chinese text is large, the types of parts of speech are many and complex, and polysemy or ambiguous words appear frequently.
Tinghuai Ma +4 more
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Research on Chinese Text Classification Based on Hybrid Model of VDCNN and LSTM [PDF]
Jisuanji gongcheng, 2018 Due to the structural dependence of natural language,and the high dimensionality when Chinese text is directly transformed into vector,the accuracy of existing text classification methods is low.To solve this problem,a hybrid model of Very Deep ...
PENG Yuqing,SONG Chubai,YAN Qian,ZHAO Xiaosong,WEI Ming
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WordChange: Adversarial Examples Generation Approach for Chinese Text Classification
IEEE Access, 2020 As an important carrier for disseminating information in the Internet Age, the text contains a large amount of information. In recent years, adversarial example attacks against text discrete domains have been received widespread attention.
Cheng Nuo +4 more
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Chinese Medical Named Entity Recognition Based on Multi-feature Embedding [PDF]
Jisuanji kexue, 2023 Aiming at the problems of single embedding information,lacking of word boundary and text structure information in Chinese medical named entity recognition(NER) model based on character representation,this paper presents a medical named entity recognition
HUANG Jiange, JIA Zhen, ZHANG Fan, LI Tianrui
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Graph Convolutional Networks with Long-distance Words Dependency in Sentences for Short Text Classification [PDF]
Jisuanji kexue, 2022 With the wide application of graph neural network technology in the field of natural language processing,the research of text classification based on graph neural networks has received more and more attention.Building graph for text is an important ...
ZHANG Hu, BAI Ping
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Systems Science & Control Engineering, 2022 Driven by the rapid development of Internet, more e-commerce product reviews are available on e-commerce platforms, which can help enterprises make business decisions.
Hong Fang, Guangjie Jiang, Desheng Li
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Chinese Microblog Topic Detection through POS-Based Semantic Expansion
Information, 2018 A microblog is a new type of social media for information publishing, acquiring, and spreading. Finding the significant topics of a microblog is necessary for popularity tracing and public opinion following.
Lianhong Ding, Bin Sun, Peng Shi
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Leveraging Integrated Learning for Open-Domain Chinese Named Entity Recognition
International Journal of Crowd Science, 2022 Named entity recognition (NER) is a fundamental technique in natural language processing that provides preconditions for tasks, such as natural language question reasoning, text matching, and semantic text similarity.
Jin Diao, Zhangbing Zhou, Guangli Shi
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Common Sense Knowledge for Handwritten Chinese Text Recognition
, 2013 Compared to human intelligence, computers are far short of common sense knowledge which people normally acquire during the formative years of their lives. This paper investigates the effects of employing common sense knowledge as a new linguistic context
Liu, Cheng-Lin +11 more
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