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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 informationinformation will decrease, leading to a promising research direction of POS customization to improve NLP

Keywords： NER     NLP     Chinese language     construction document    

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Progress in Neural NLP: Modeling, Learning, and Reasoning Review

Ming Zhou, Nan Duan, Shujie Liu, Heung-Yeung Shum

Engineering 2020, Volume 6, Issue 3,   Pages 275-290 doi: 10.1016/j.eng.2019.12.014

Abstract:

Natural language processing (NLP) is a subfield of artificial intelligence (AI) that focuses on enablingIn the last five years, we have witnessed the rapid development of NLP in tasks such as machine translationIn this paper, we will review the latest progress in the neural network-based NLP framework (neural NLPWe view reasoning as a new and exciting direction for neural NLP, but it has yet to be well addressedAt the end of this paper, we will briefly outline our thoughts on the future directions of neural NLP

Keywords： Natural language processing     Deep learning     Modeling     learning     and Reasoning    

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Title Author Date Type Operation

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

Journal Article

Progress in Neural NLP: Modeling, Learning, and Reasoning

Ming Zhou, Nan Duan, Shujie Liu, Heung-Yeung Shum

Journal Article