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Chinese NER Using Dynamic Meta-Embeddings [PDF]
IEEE Access, 2019 Named entity recognition (NER) is one of the basic techniques in natural language processing tasks. Chinese NER is complicated and difficult which remains a major challenge.
Naixin Zhang +4 more
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A Multi-Granularity Word Fusion Method for Chinese NER
Applied Sciences, 2023 Named entity recognition (NER) plays a crucial role in many downstream natural language processing (NLP) tasks. It is challenging for Chinese NER because of certain features of Chinese.
Tong Liu +3 more
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EDAER: Entropy-Driven Approach for Entity and Relation Extraction in Chinese Cyber Threat Intelligence [PDF]
EntropyCyber threat intelligence (CTI) has been explored to strengthen system security via taking raw threat data from various data sources and transforming it into actionable insights that enable organizations to predict, detect, and respond to cyber threats ...
Yong Li +6 more
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A boundary enhanced multi-task neural attention approach for Chinese named entity recognition [PDF]
Scientific ReportsNamed Entity Recognition (NER) stands as a fundamental task in Chinese information processing. However, it encounters unique difficulties due to the lack of explicit word boundaries in the Chinese language.
Jun Pan +3 more
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LSTM-CRF Neural Network With Gated Self Attention for Chinese NER
IEEE Access, 2019 Named entity recognition (NER) is an essential part of natural language processing tasks. Chinese NER task is different from the many European languages due to the lack of natural delimiters. Therefore, Chinese Word Segmentation (CWS) is usually regarded
Yanliang Jin +5 more
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Named Entity Recognition for Chinese Cancer Electronic Health Records—Development and Evaluation of a Domain-Specific BERT Model: Quantitative Study [PDF]
JMIR Medical InformaticsBackgroundThe unstructured data of Chinese cancer electronic health records (EHRs) contains valuable medical expertise. Accurate medical entity recognition is crucial for building a medical-assisted decision system.
Junbai Chen +7 more
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Survey of Chinese Named Entity Recognition [PDF]
Jisuanji kexue yu tansuo, 2022 The Chinese named entity recognition (NER) task is a sub-task within the information extraction domain, where the task goal is to find, identify and classify relevant entities, such as names of people, places and organizations, from sentences given a ...
ZHAO Shan, LUO Rui, CAI Zhiping
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Chinese Named Entity Recognition Method Based on ALBERT-BGRU-CRF [PDF]
Jisuanji gongcheng, 2022 Named Entity Recognition(NER) is an important basis for upper-level natural language processing tasks such as knowledge graph construction, search engines, and recommendation systems.Chinese NER labels and classifies proper nouns or specific named ...
LI Junhuai, CHEN Miaomiao, WANG Huaijun, CUI Ying'an, ZHANG Aihua
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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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Applied Sciences, 2023 Named entity recognition (NER) plays a crucial role in information extraction but faces challenges in the Chinese context. Especially in Chinese paleontology popular science, NER encounters difficulties, such as low recognition performance for long and ...
Yan Guo +7 more
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