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Chinese named entity recognition: The state of the art
Neurocomputing, 2022 Abstract Named Entity Recognition(NER), one of the most fundamental problems in natural language processing, seeks to identify the boundaries and types of entities with specific meanings in natural language text. As an important international language, Chinese has uniqueness in many aspects, and Chinese NER (CNER) is receiving increasing attention ...
Pan Liu 0006 +3 more
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Automatic Construction of Chinese Nested Named Entity Recognition Corpus Based on Wikipedia [PDF]
Jisuanji gongcheng, 2018 Traditional supervised learning method needs to label the corpus in a certain scale,which limits its domain adaptability.Therefore,a method of automatically constructing a Chinese nested named entity recognition corpus from Chinese Wikipedia entries is ...
LI Yanqun,HE Yunqi,QIAN Longhua,ZHOU Guodong
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Named Entity Recognition for Chinese biomedical patents [PDF]
Proceedings of the 28th International Conference on Computational Linguistics, 2020 There is a large body of work on Biomedical Entity Recognition (Bio-NER) for English but there have only been a few attempts addressing NER for Chinese biomedical texts. Because of the growing amount of Chinese biomedical discoveries being patented, and lack of NER models for patent data, we train and evaluate NER models for the analysis of Chinese ...
Hu, Y., Verberne, S.
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An Improved Approach to the Construction of Chinese Medical Knowledge Graph Based on CTD-BLSTM Model
IEEE Access, 2021 In the process of constructing the knowledge graph, entity recognition and relationship extraction are not only the most fundamental but also the most important tasks, and the effect of their model directly affects the final result of the graph.
Yang Wu, Xiyong Zhu, Yinan Zhu
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Named Entity Recognition of Wheat Diseases and Pests Fusing ALBERT and Rules [PDF]
Jisuanji kexue yu tansuo, 2023 Named entity recognition of wheat diseases and pests is a key step to building a knowledge graph. Aiming at the problems of lack of training data, complex entity structure, diverse entity types and uneven entity distribution in wheat diseases and pests ...
LIU Hebing, ZHANG Demeng, XIONG Shufeng, MA Xinming, XI Lei
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Does semantics aid syntax? An empirical study on named entity recognition and classification [PDF]
, 2022 Many researchers jointly model multiple linguistic tasks (e.g., joint modeling of named entity recognition and named entity classification and joint modeling of syntactic parsing and semantic parsing) with an implicit assumption that these individual ...
Hussain, Amir +2 more
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Chinese Named Entity Recognition Model Based on Transformer Encoder [PDF]
Jisuanji gongcheng, 2022 Named Entity Recognition(NER) is an important task in Natural Language Processing(NLP), and compared with English NER, Chinese NER is often more difficult to achieve.Traditional Chinese entity recognition models are usually based on deep neural networks ...
SI Yichen, GUAN Youqing
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Chinese Named Entity Recognition Based on CNN-Head Transformer Encoder [PDF]
Jisuanji gongcheng, 2022 Transformers based on the multihead self-attention mechanism as a mainstream feature extractor have achieved excellent performance in various Natural Language Processing(NLP) tasks.However, problems such as one character belonging to multiple words ...
SHI Zhantang, MA Yupeng, ZHAO Fan, MA Bo
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Chinese Overlapping Named Entity Recognition Method Based on Label Clustering [PDF]
Jisuanji gongcheng, 2020 To address complex nested relations between named entities and overlapping boundaries of adjacent named entities caused by mislabeling in corpus,this paper proposes a method of Chinese overlapping Named Entity Recognition(NER).First,a hierarchical ...
WEN Xiuxiu, MA Chao, GAO Yuanyuan, KANG Zilu
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Applied Sciences, 2022 Chinese medical texts contain a large number of medically named entities. Automatic recognition of these medical entities from medical texts is the key to developing medical informatics.
Renlong Qi +3 more
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