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Semi-Supervised Named Entity Recognition:\ud Learning to Recognize 100 Entity Types with Little Supervision\ud [PDF]

, 2007
Named Entity Recognition (NER) aims to extract and to classify rigid designators in text such as proper names, biological species, and temporal expressions. There has been growing interest in this field of research since the early 1990s.
Nadeau, David
core  

Unleashing the power of pinyin: promoting Chinese named entity recognition with multiple embedding and attention

Complex & Intelligent Systems
Named Entity Recognition (NER) aims to identify entities with specific meanings and their boundaries in natural language texts. Due to the differences between Chinese and English language families, Chinese NER faces challenges such as ambiguous word ...
Jigui Zhao, Yurong Qian, Shuxiang Hou, Jiayin Chen, Kui Wang, Min Liu, Aizimaiti Xiaokaiti   +6 more
doaj   +1 more source

A Pre-Identification Method for Chinese Named Entity Recognition

Journal of Software, 2010
In this paper, a pre-identification method for Chinese named entity recognition is proposed. Internal information of entity name like family name, first name in person name, feature word in place name and organization name do not needed. Through entity name guessing based on context keywords, pre-identification is realized.
Hongjian Liu, Defeng Guo, Quan Zhou, Kenji Nagamatsu, Qinghua Sun   +4 more
openaire   +1 more source

BIBC: A Chinese Named Entity Recognition Model for Diabetes Research

, 2021
In the medical field, extracting medical entities from text by Named Entity Recognition (NER) has become one of the research hotspots. This thesis takes the chapter-level diabetes literature as the research object and uses a deep learning method to ...
Yufan Fu, Yu Dai, Lei Yang
core   +1 more source

Chinese medical named entity recognition integrating adversarial training and feature enhancement

Scientific Reports
Chinese possesses the essential attributes of unique character composition structure and the nested nature of medical entities, which causes many challenges for Chinese Electronic Health Records (EHRs) in medical named entity recognition tasks, such as ...
Xu Zhang, Youchen Kao, Shengbing Che, Juan Yan, Sha Zhou, Shenyi Guo, Wanqin Wang   +6 more
doaj   +1 more source

Generative named entity recognition framework for Chinese legal domain [PDF]

PeerJ Computer Science
Named entity recognition (NER) is a crucial task in natural language processing, particularly challenging in the legal domain due to the intricate and lengthy nature of legal entities.
Xingliang Mao, Jie Jiang, Yongzhe Zeng, Yinan Peng, Shichao Zhang, Fangfang Li   +5 more
doaj   +2 more sources

Chinese Named Entity Recognition Based on Multi-Level Representation Learning

Applied Sciences
Named Entity Recognition (NER) is a crucial component of Natural Language Processing (NLP). When dealing with the high diversity and complexity of the Chinese language, existing Chinese NER models face challenges in addressing word sense ambiguity ...
Weijun Li, Jianping Ding, Shixia Liu, Xueyang Liu, Yilei Su, Ziyi Wang   +5 more
doaj   +1 more source

A BERT-Span model for Chinese named entity recognition in rehabilitation medicine. [PDF]

PeerJ Comput Sci, 2023
Zhong J, Xuan Z, Wang K, Cheng Z.
europepmc   +1 more source

EduNER: a Chinese named entity recognition dataset for education research. [PDF]

Neural Comput Appl, 2023
Li X, Wei C, Jiang Z, Meng W, Ouyang F, Zhang Z, Chen W.   +6 more
europepmc   +1 more source

Chinese medical named entity recognition model based on local enhancement [PDF]

In the medical field, the recognition of medical entities is often influenced by their adjacent context, the current named entity recognition methods typically rely on BiLSTM to capture the global dependency relationships within text, lacking modeling of
CHEN Jing, MENG Weilun, FENG Jianzhou, XING Kexuan, GUO Jingfeng   +4 more
core   +1 more source