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Well-Behaved Transformer for Chinese Medical NER
2021 3rd International Conference on Natural Language Processing (ICNLP), 2021Medical named entity recognition (NER) is an important task of clinical natural language processing (NLP). It is a hot issue in intelligent medicine research. Recently, the proposed Lattice-LSTM model has demonstrated that incorporating information of words in character sequence into character-level Chinese NER has achieved new benchmark results on the
Zhichang Zhang +3 more
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MVT: Chinese NER Using Multi-View Transformer
IEEE/ACM Transactions on Audio Speech and Language ProcessingZongcheng Ji, Jianqiang Li, Yinlong Xiao
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Hierarchical Label-Enhanced Contrastive Learning for Chinese NER
IEEE Transactions on Neural Networks and Learning SystemsRecently, character-word lattice structures have achieved promising results for Chinese named entity recognition (NER), reducing word segmentation errors and increasing word boundary information for character sequences. However, constructing the lattice structure is complex and time-consuming, thus these lattice-based models usually suffer from low ...
Meng Wang, Tianwei Yan, Wentao Ma
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MGCN: A Novel Multi-Graph Collaborative Network for Chinese NER
Lecture Notes in Computer Science, 2022Yingqi Zhang, Wenjun Ma, Yuncheng Jiang
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LSA-Based Chinese-Slavic Mongolian NER Disambiguation
2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing, 2015The ambiguity of named entity refers to one named entity with multiple entity concepts. We use the text contextual information and other external repository to cope with the ambiguity of named entity. Then we can make sure the truly allegations of a named entity. Our system can improve the performance of the online recommendation system, the ability to
Yupeng Jiang, Hongxu Hou, Ping Yang
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DeComa: Dictionary Enhanced Chinese NER Based on Confidence Estimation
2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI), 2022Xingchen Liu
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BiLSTM-IN-TRANS for Chinese NER
International Symposium on Artificial Intelligence Control and Application Technology (AICAT 2022), 2022Jun Yin, Cui Zhu, Wenjun Zhu
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Research on Me-based Chinese NER model
2008 International Conference on Machine Learning and Cybernetics, 2008This paper presents a hybrid pattern for Chinese Name Entity Recognition based on Maximum Entropy model. Firstly, Maximum Entropy model is an outstanding statistical model for its good integration of various constraints and its compatibility to Chinese Named Entity Recognition.
null Yue-Jie Zhang, null Tao Zhang
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LLET: Lightweight Lexicon-Enhanced Transformer for Chinese NER
ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)Zongcheng Ji
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Chinese ner hybrid pattern based on multi-feature fusion
2011 International Conference on Machine Learning and Cybernetics, 2011This paper focuses on the Chinese Named Entity Recognition (NER) hybrid pattern, and emphasizes particularly on the fusion mechanism of multiple features for NE acquisition. It differentiates from most of previous methods mainly as that Local Features and Global Features are integrated to get higher performance.
Yuejie Zhang +3 more
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