Chinese Named Entity Recognition Method for Domain-Specific Text Article Swipe
He Liu
,
Yuekun Ma
,
Chang Gao
,
Qi Jia
,
Dezheng Zhang
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.17559/tv-20230324000477
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.17559/tv-20230324000477
The Chinese named entity recognition (NER) is a critical task in natural language processing, aiming at identifying and classifying named entities in text. However, the specificity of domain texts and the lack of large-scale labelled datasets have led to the poor performance of NER methods trained on public domain corpora on domain texts. In this paper, a named entity recognition method incorporating sentence semantic information is proposed, mainly by adaptively incorporating sentence semantic information into character semantic information through an attention mechanism and a gating mechanism to enhance entity feature representation while attenuating the noise generated by irrelevant character information. In addition, to address the lack of large-scale labelled samples, we used data self-augmentation methods to expand the training samples. Furthermore, we introduced a Weighted Strategy considering that the low-quality samples generated by the data self-augmentation process can have a negative impact on the model. Experiments on the TCM prescriptions corpus showed that the F1 values of our method outperformed the comparison methods.
Related Topics
Concepts
Named-entity recognition
Natural language processing
Computer science
Domain (mathematical analysis)
Artificial intelligence
Entity linking
Pattern recognition (psychology)
Information retrieval
Speech recognition
Mathematics
Engineering
Task (project management)
Knowledge base
Systems engineering
Mathematical analysis
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.17559/tv-20230324000477
- https://hrcak.srce.hr/file/446400
- OA Status
- gold
- References
- 30
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4387962314
All OpenAlex metadata
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- OpenAlex ID
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https://openalex.org/W4387962314Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.17559/tv-20230324000477Digital Object Identifier
- Title
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Chinese Named Entity Recognition Method for Domain-Specific TextWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-10-26Full publication date if available
- Authors
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He Liu, Yuekun Ma, Chang Gao, Qi Jia, Dezheng ZhangList of authors in order
- Landing page
-
https://doi.org/10.17559/tv-20230324000477Publisher landing page
- PDF URL
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https://hrcak.srce.hr/file/446400Direct link to full text PDF
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://hrcak.srce.hr/file/446400Direct OA link when available
- Concepts
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Named-entity recognition, Natural language processing, Computer science, Domain (mathematical analysis), Artificial intelligence, Entity linking, Pattern recognition (psychology), Information retrieval, Speech recognition, Mathematics, Engineering, Task (project management), Knowledge base, Systems engineering, Mathematical analysisTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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30Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| primary_location.source.host_organization_name | Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering i |
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| publication_date | 2023-10-26 |
| publication_year | 2023 |
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