Analysis of the Reform Effectiveness of Vocational Skill Identification Based on the New Social Training Model in the New Era under Deep Learning Assessment
In order to be able to make full use of domain knowledge to improve the performance of skill word extraction, this paper proposes a skill word extraction method based on a combination of deep learning and corpus features. Skill word extraction is transformed into a sequence annotation problem, and b...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Applied Bionics and Biomechanics |
| Online Access: | http://dx.doi.org/10.1155/2022/1676355 |
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| _version_ | 1832551241120481280 |
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| author | Yeming Wang Yong Ran |
| author_facet | Yeming Wang Yong Ran |
| author_sort | Yeming Wang |
| collection | DOAJ |
| description | In order to be able to make full use of domain knowledge to improve the performance of skill word extraction, this paper proposes a skill word extraction method based on a combination of deep learning and corpus features. Skill word extraction is transformed into a sequence annotation problem, and based on the basic model of sequence annotation, Bi-LSTM-CRF, corpus features are added to the input layer, and the output of the input layer is connected with the Bi-LSTM output as the input of the CRF layer. The experimental results show timely updating of the question bank, paying attention to the quality of vocational skill identification, and strictly managing the issuance of vocational qualification false certificates. |
| format | Article |
| id | doaj-art-2ba324c626f54f10b2686a3fa10ebb8f |
| institution | Kabale University |
| issn | 1754-2103 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Applied Bionics and Biomechanics |
| spelling | doaj-art-2ba324c626f54f10b2686a3fa10ebb8f2025-02-03T06:01:51ZengWileyApplied Bionics and Biomechanics1754-21032022-01-01202210.1155/2022/1676355Analysis of the Reform Effectiveness of Vocational Skill Identification Based on the New Social Training Model in the New Era under Deep Learning AssessmentYeming Wang0Yong Ran1Graduate SchoolSchool of Intelligent ManufacturingIn order to be able to make full use of domain knowledge to improve the performance of skill word extraction, this paper proposes a skill word extraction method based on a combination of deep learning and corpus features. Skill word extraction is transformed into a sequence annotation problem, and based on the basic model of sequence annotation, Bi-LSTM-CRF, corpus features are added to the input layer, and the output of the input layer is connected with the Bi-LSTM output as the input of the CRF layer. The experimental results show timely updating of the question bank, paying attention to the quality of vocational skill identification, and strictly managing the issuance of vocational qualification false certificates.http://dx.doi.org/10.1155/2022/1676355 |
| spellingShingle | Yeming Wang Yong Ran Analysis of the Reform Effectiveness of Vocational Skill Identification Based on the New Social Training Model in the New Era under Deep Learning Assessment Applied Bionics and Biomechanics |
| title | Analysis of the Reform Effectiveness of Vocational Skill Identification Based on the New Social Training Model in the New Era under Deep Learning Assessment |
| title_full | Analysis of the Reform Effectiveness of Vocational Skill Identification Based on the New Social Training Model in the New Era under Deep Learning Assessment |
| title_fullStr | Analysis of the Reform Effectiveness of Vocational Skill Identification Based on the New Social Training Model in the New Era under Deep Learning Assessment |
| title_full_unstemmed | Analysis of the Reform Effectiveness of Vocational Skill Identification Based on the New Social Training Model in the New Era under Deep Learning Assessment |
| title_short | Analysis of the Reform Effectiveness of Vocational Skill Identification Based on the New Social Training Model in the New Era under Deep Learning Assessment |
| title_sort | analysis of the reform effectiveness of vocational skill identification based on the new social training model in the new era under deep learning assessment |
| url | http://dx.doi.org/10.1155/2022/1676355 |
| work_keys_str_mv | AT yemingwang analysisofthereformeffectivenessofvocationalskillidentificationbasedonthenewsocialtrainingmodelintheneweraunderdeeplearningassessment AT yongran analysisofthereformeffectivenessofvocationalskillidentificationbasedonthenewsocialtrainingmodelintheneweraunderdeeplearningassessment |