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Named entity recognition for Chinese construction documents based on conditional random field

Frontiers of Engineering Management 2023, Volume 10, Issue 2,   Pages 237-249 doi: 10.1007/s42524-021-0179-8

Abstract: Named entity recognition (NER) is essential in many natural language processing (NLP) tasks such as informationA construction document usually contains critical named entities, and an effective NER method can provideThis study presents a NER method for Chinese construction documents based on conditional random fieldThe corpus design pipeline identifies typical NER tasks in construction management, enables word-based

Keywords： NER     NLP     Chinese language     construction document    

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Automatically building large-scale named entity recognition corpora from Chinese Wikipedia

Jie ZHOU,Bi-cheng LI,Gang CHEN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 11,   Pages 940-956 doi: 10.1631/FITEE.1500067

Abstract: Named entity recognition (NER) is a core component in many natural language processing applications.Most NER systems rely on supervised machine learning methods, which depend on time-consuming and expensiveThis paper presents a method for automatically building silver-standard NER corpora from Chinese WikipediaBy selecting the sentences related with the domains of test data, we can train better NER models.The results show the effectiveness of automatically annotated corpora, and the trained NER models achieve

Keywords： NER corpora     Chinese Wikipedia     Entity classification     Domain adaptation     Corpus selection    

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A review on cyber security named entity recognition Review Article

Chen Gao, Xuan Zhang, Mengting Han, Hui Liu,zhxuan@ynu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 9,   Pages 1153-1168 doi: 10.1631/FITEE.2000286

Abstract: This paper describes various approaches and techniques for NER in this domain, including the rule-basedapproach, dictionary-based approach, and based approach, and discusses the problems faced by NER researchThree future directions of NER in are proposed: (1) application of unsupervised or semi-supervised technology

Keywords： 命名实体识别（NER）；信息抽取；网络空间安全；机器学习；深度学习    

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Title Author Date Type Operation

Named entity recognition for Chinese construction documents based on conditional random field

Journal Article

Automatically building large-scale named entity recognition corpora from Chinese Wikipedia

Jie ZHOU,Bi-cheng LI,Gang CHEN

Journal Article

A review on cyber security named entity recognition

Chen Gao, Xuan Zhang, Mengting Han, Hui Liu,zhxuan@ynu.edu.cn

Journal Article