Results 11 to 20 of about 44,658,676 (284)
LCSTS: A Large Scale Chinese Short Text Summarization Dataset [PDF]
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015 Automatic text summarization is widely regarded as the highly difficult problem, partially because of the lack of large text summarization data set. Due to the great challenge of constructing the large scale summaries for full text, in this paper, we introduce a large corpus of Chinese short text summarization dataset constructed from the Chinese ...
Baotian Hu, Qingcai Chen, Fangze Zhu
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The effects of text direction of different text lengths on Chinese reading
Scientific Reports, 2023 This study investigates the effects of text direction (horizontal and vertical) and length (long and short) on Chinese reading performance. The experiment enrolled 68 university students aged 19–29 years who were asked to read articles.
Yanqun Huang +5 more
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Chinese Text Classification Model Based on Deep Learning
Future Internet, 2018 Text classification is of importance in natural language processing, as the massive text information containing huge amounts of value needs to be classified into different categories for further use.
Yue Li, Xutao Wang, Pengjian Xu
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Chinese Short Text Classification Algorithm Based on BERT Model [PDF]
Jisuanji gongcheng, 2021 The existing Chinese short text classification algorithms are faced with sparse features,informal words and massive data.To address the problems,this paper proposes a Chinese short text classification algorithm based on the Bidirectional Encoder ...
DUAN Dandan, TANG Jiashan, WEN Yong, YUAN Kehai
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Short Text Matching Model Combined with Multi-Granularity Information and External Knowledge [PDF]
Jisuanji gongcheng, 2022 Chinese short text semantic matching generally uses word sequences, rather than character sequences, to achieve higher semantic-matching performance.However, Chinese word segmentation may be inaccurate or ambiguous, and word segmentation errors can ...
LIANG Dengyu, LIU Daming
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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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Entity Linking Based on Local Attention Mechanism for Chinese Short Text [PDF]
Jisuanji gongcheng, 2021 Entity linking is an effective method for strengthening semantic understanding and linking knowledge information to the text.However,the accuracy of most existing models in understanding the context is limited by the text length,so entity linking for ...
ZHANG Shengqi, WANG Yuanlong, LI Ru, WANG Xiaoyue, WANG Xiaohui, YAN Zhichao
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Sentiment Analysis of Chinese Short Text Combining Context and Dependent Syntactic Information [PDF]
Jisuanji kexue, 2023 Dependency parsing aims to analyze the syntactic structure of sentences from the perspective of linguistics.Existing studies suggest that combining such graph-like data with graph convolutional network(GCN) can help model better understand the text ...
DU Qiming, LI Nan, LIU Wenfu, YANG Shudan, YUE Feng
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RSVN: A RoBERTa Sentence Vector Normalization Scheme for Short Texts to Extract Semantic Information
Applied Sciences, 2022 With the explosive growth in short texts on the Web and an increasing number of Web corpora consisting of short texts, short texts are playing an important role in various Web applications.
Lei Gao +3 more
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Domains, text types, aspect marking and English-Chinese translation. [PDF]
, 2002 This paper uses an English-Chinese parallel corpus, an L1 Chinese comparable corpus, and an L1 Chinese reference corpus to examine how aspectual meanings in English are translated into Chinese and explore the effects of domains, text types and ...
McEnery, Tony +5 more
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