Results 181 to 190 of about 1,332,615 (213)
Some of the next articles are maybe not open access.

Well-Behaved Transformer for Chinese Medical NER

2021 3rd International Conference on Natural Language Processing (ICNLP), 2021
Medical 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
openaire   +1 more source

MVT: Chinese NER Using Multi-View Transformer

IEEE/ACM Transactions on Audio Speech and Language Processing
Zongcheng Ji, Jianqiang Li, Yinlong Xiao
exaly   +3 more sources

Hierarchical Label-Enhanced Contrastive Learning for Chinese NER

IEEE Transactions on Neural Networks and Learning Systems
Recently, 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
exaly   +3 more sources

MGCN: A Novel Multi-Graph Collaborative Network for Chinese NER

Lecture Notes in Computer Science, 2022
Yingqi Zhang, Wenjun Ma, Yuncheng Jiang
exaly   +2 more sources

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, 2015
The 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
openaire   +1 more source

DeComa: Dictionary Enhanced Chinese NER Based on Confidence Estimation

2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI), 2022
Xingchen Liu
exaly   +3 more sources

BiLSTM-IN-TRANS for Chinese NER

International Symposium on Artificial Intelligence Control and Application Technology (AICAT 2022), 2022
Jun Yin, Cui Zhu, Wenjun Zhu
openaire   +1 more source

Research on Me-based Chinese NER model

2008 International Conference on Machine Learning and Cybernetics, 2008
This 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
openaire   +1 more source

LLET: Lightweight Lexicon-Enhanced Transformer for Chinese NER

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Zongcheng Ji
exaly   +2 more sources

Chinese ner hybrid pattern based on multi-feature fusion

2011 International Conference on Machine Learning and Cybernetics, 2011
This 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
openaire   +1 more source

Home - About - Disclaimer - Privacy