Results 1 to 10 of about 3,831,007 (189)
AWdpCNER: Automated Wdp Chinese Named Entity Recognition from Wheat Diseases and Pests Text
Agriculture, 2023 Chinese named entity recognition of wheat diseases and pests is an initial and key step in constructing knowledge graphs. In the field of wheat diseases and pests, there are problems, such as lack of training data, nested entities, fuzzy entity ...
Demeng Zhang +4 more
doaj +4 more sources
Transformer-based prototype network for Chinese nested named entity recognition [PDF]
Scientific ReportsNested named entity recognition (NNER), a subtask of named entity recognition (NER), aims to recognize more types of entities and complex nested relationships, presenting challenges for real-world applications.
Ke Zhang +6 more
doaj +3 more sources
Survey of Chinese Named Entity Recognition [PDF]
Jisuanji kexue yu tansuo, 2022 The Chinese named entity recognition (NER) task is a sub-task within the information extraction domain, where the task goal is to find, identify and classify relevant entities, such as names of people, places and organizations, from sentences given a ...
ZHAO Shan, LUO Rui, CAI Zhiping
doaj +2 more sources
WBA: Word Boundary Attention for Chinese Named Entity Recognition. [PDF]
PLoS ONEChinese words often exhibit a parallel structural relationship within sentences, while individual characters are sequentially connected. To capture this structural distinction, we extract the head and tail positions of characters within words and ...
Zhongguo Xu
doaj +3 more sources
Review on Named Entity Recognition [PDF]
Jisuanji kexue yu tansuo, 2022 In the field of natural language processing, named entity recognition is the first key step of information extraction. Named entity recognition task aims to recognize named entities from a large number of unstructured texts and classify them into ...
LI Dongmei, LUO Sisi, ZHANG Xiaoping, XU Fu
doaj +1 more source
Review of Chinese Named Entity Recognition Research [PDF]
Jisuanji kexue yu tansuo, 2023 With the rapid development of related technologies in the field of natural language processing, as an upstream task of natural language processing, improving the accuracy of named entity recognition is of great significance for subsequent text processing
WANG Yingjie, ZHANG Chengye, BAI Fengbo, WANG Zumin, JI Changqing
doaj +1 more source
Chinese Named Entity Recognition Based on Knowledge Enhancement [PDF]
Jisuanji gongcheng, 2021 Chinese Named Entity Recognition(CNER) models can capture both character-level and word-level information,but are vulnerable to the negative impact of Out-of-Vocabulary(OOV) words and insufficient training caused by small datasets.To address this problem,
HU Xinbang, YU Xuqiao, LI Shaomei, ZHANG Jianpeng
doaj +1 more source
Chinese Named Entity Recognition Method Based on ALBERT-BGRU-CRF [PDF]
Jisuanji gongcheng, 2022 Named Entity Recognition(NER) is an important basis for upper-level natural language processing tasks such as knowledge graph construction, search engines, and recommendation systems.Chinese NER labels and classifies proper nouns or specific named ...
LI Junhuai, CHEN Miaomiao, WANG Huaijun, CUI Ying'an, ZHANG Aihua
doaj +1 more source
Chinese named entity recognition model based on BERT [PDF]
MATEC Web of Conferences, 2021 Nowadays, most deep learning models ignore Chinese habits and global information when processing Chinese tasks. To solve this problem, we constructed the BERT-BiLSTM-Attention-CRF model.
Liu Hongshuai, Jun Ge, Zheng Yuanyuan
doaj +1 more source
Study on Chinese Named Entity Extraction Rules Based on Boundary Location and Correction [PDF]
Jisuanji kexue, 2023 Compared with English text which is naturally composed of words,Chinese text has no word delimiters,so the combination of Chinese characters is more flexible,and it's more difficult to determine the entity boundaries in Chinese named entity recognition ...
LIU Pan, GUO Yanming, LEI Jun, LAO Mingrui, LI Guohui
doaj +1 more source