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Entity Span Suffix Classification for Nested Chinese Named Entity Recognition
InformationNamed entity recognition (NER) is one of the fundamental tasks in building knowledge graphs. For some domain-specific corpora, the text descriptions exhibit limited standardization, and some entity structures have entity nesting.
Jianfeng Deng +3 more
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Single character Chinese named entity recognition [PDF]
Proceedings of the second SIGHAN workshop on Chinese language processing -, 2003 Single character named entity (SCNE) is a name entity (NE) composed of one Chinese character, such as "[Abstract contained text which could not be captured.]" (zhong1, China) and "[Abstract contained text which could not be captured.]" (e2, Russia). SCNE is very common in written Chinese text.
Xiaodan Zhu 0001 +3 more
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Chinese Named Entity Recognition Model Based on Multi-Task Learning
Applied Sciences, 2023 Compared to English, Chinese named entity recognition has lower performance due to the greater ambiguity in entity boundaries in Chinese text, making boundary prediction more difficult. While traditional models have attempted to enhance the definition of
Qin Fang +3 more
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Chinese Medical Named Entity Recognition Method Incorporating Machine ReadingComprehension [PDF]
Jisuanji kexue, 2023 Medical named entity recognition is the key to automatically build a large-scale medical knowledge base.However,medical entities are often nested,and it can not be recognized by the sequence labeling method.This paper proposes a Chinese medical named ...
LUO Yuanyuan, YANG Chunming, LI Bo, ZHANG Hui, ZHAO Xujian
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MAF-CNER : A Chinese Named Entity Recognition Model Based on Multifeature Adaptive Fusion
Complexity, 2021 Named entity recognition (NER) is a subtask in natural language processing, and its accuracy greatly affects the effectiveness of downstream tasks. Aiming at the problem of insufficient expression of potential Chinese features in named entity recognition
Xuming Han +5 more
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Chinese Medical Named Entity Recognition Based on Multi-feature Embedding [PDF]
Jisuanji kexue, 2023 Aiming at the problems of single embedding information,lacking of word boundary and text structure information in Chinese medical named entity recognition(NER) model based on character representation,this paper presents a medical named entity recognition
HUANG Jiange, JIA Zhen, ZHANG Fan, LI Tianrui
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Multi-Feature Fusion Method for Chinese Pesticide Named Entity Recognition
Applied Sciences, 2023 Chinese pesticide named-entity recognition (NER) aims to identify named entities related to pesticide properties from unstructured Chinese pesticide information texts.
Wenqing Ji, Yinghua Fu, Hongmei Zhu
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Named entity recognition: challenges in document annotation, gazetteer construction and disambiguation [PDF]
, 2013 The ' information explosion' has generated unprecedented amount of published information that is still growing at an astonishing rate. As the amount of information grows, the problem of managing the information becomes challenging.
Zhang, Ziqi
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A Chinese Named Entity Recognition System with Neural Networks
ITM Web of Conferences, 2017 Named entity recognition (NER) is a typical sequential labeling problem that plays an important role in natural language processing (NLP) systems. In this paper, we discussed the details of applying a comprehensive model aggregating neural networks and ...
Yi Hui-Kang +2 more
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A review of Chinese named entity recognition
KSII Transactions on Internet and Information Systems, 2021 Named Entity Recognition (NER) is used to identify entity nouns in the corpus such as Location, Person and Organization, etc. NER is also an important basic of research in various natural language fields. The processing of Chinese NER has some unique difficulties, for example, there is no obvious segmentation boundary between each Chinese character in ...
Jieren Cheng +5 more
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