Results 41 to 50 of about 3,831,007 (189)
Chinese Named Entity Recognition Integrating Positional and Entity Category Information [PDF]
Jisuanji gongchengWords play a crucial role as contextual information in Chinese Named Entity Recognition (NER) tasks. Although character-based methods have achieved some success, existing methods simplistically embed word information and use a limited feature capture ...
YANG Junhui, LI Sujin
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Improving clinical named entity recognition in Chinese using the graphical and phonetic feature
BMC Medical Informatics and Decision Making, 2019 Background Clinical Named Entity Recognition is to find the name of diseases, body parts and other related terms from the given text. Because Chinese language is quite different with English language, the machine cannot simply get the graphical and ...
Yifei Wang +2 more
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Enhanced character embedding for Chinese named entity recognition
Measurement + Control, 2020 Traditional named entity recognition methods mainly explore the application of hand-crafted features. Currently, with the popularity of deep learning, neural networks have been introduced to capture deep features for named entity recognition.
Bingjing Jia +4 more
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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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Enhancing Entity Boundary Detection for Better Chinese Named Entity Recognition [PDF]
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), 2021 In comparison with English, due to the lack of explicit word boundary and tenses information, Chinese Named Entity Recognition (NER) is much more challenging. In this paper, we propose a boundary enhanced approach for better Chinese NER. In particular, our approach enhances the boundary information from two perspectives.
Chun Chen, Fang Kong
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Information, 2022 Intent classification and named entity recognition of medical questions are two key subtasks of the natural language understanding module in the question answering system.
Turdi Tohti +2 more
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Chinese Named Entity Recognition with Bert
DEStech Transactions on Computer Science and Engineering, 2019 As a basic task of NLP, named entity recognition has always been the focus of researchers. At the same time, the word vector representation which is a necessary part of many named entity recognition neural network models has been more and more important.
CHENG GONG +4 more
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Zhishi guanli luntan[Purpose/Significance] Leveraging Named Entity Recognition (NER) techniques for the thorough exploration of ancient literary documents not only drives forward the digitization of ancient Chinese texts, including the vital process of Ancient text ...
Meng Jiana, Xu Yingao, Zhao Dandan, Li Fengyi, Zhao Di
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Corpora and evaluation tools for multilingual named entity grammar development [PDF]
, 2011 We present an effort for the development of multilingual named entity grammars in a unification-based finite-state formalism (SProUT). Following an extended version of the MUC7 standard, we have developed Named Entity Recognition grammars for German ...
Guasch, Clara +13 more
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Chinese named entity recognition based on lexicon enhancement and table filling
Dianzi Jishu YingyongChinese named entity recognition has been involved with two tasks, including Chinese flat named entity recognition and Chinese nested named entity recognition. Chinese nested named entity recognition is more difficult.
Chu Tianshu +5 more
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