<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper proposes a named entity recognition method based on multitask pointer networks, which uses Transformer and BERT to extract features, thus greatly increasing the fault tolerance of the model. Sequence annotation is realized through the conditional random field model, which can recognize complex nested vocabularies, therefore establishing a knowledge graph related to the Free Trade Port (FTP), constructing the framework of influencing factors for the cultivation of interdisciplinary talents of non-English majors in higher education and preparing a questionnaire on influencing factors. The results show that after 2019 and 2020, the number of articles issued and cited about FTP has demonstrated significant growth. The keywords related to the research hotspots of FTP were clustered, and 14 effective clusters were obtained. The intention to cultivate interdisciplinary talents of non-English majors is positively correlated with students’ knowledge, students’ personality traits, and the economic environment of FTP (P&lt;0.01), with Pearson coefficients of 0.534, 0.287, and 0.335, respectively. To cultivate interdisciplinary talents, the pedagogical principle should be developed, which involves enhancing curriculum, increasing practical experiences, and innovating instructional methods.</p>
</abstract>

This paper proposes a named entity recognition method based on multitask pointer networks, which uses Transformer and BERT to extract features, thus greatly increasing the fault tolerance of the model. Sequence annotation is realized through the conditional random field model, which can recognize complex nested vocabularies, therefore establishing a knowledge graph related to the Free Trade Port (FTP), constructing the framework of influencing factors for the cultivation of interdisciplinary talents of non-English majors in higher education and preparing a questionnaire on influencing factors. The results show that after 2019 and 2020, the number of articles issued and cited about FTP has demonstrated significant growth. The keywords related to the research hotspots of FTP were clustered, and 14 effective clusters were obtained. The intention to cultivate interdisciplinary talents of non-English majors is positively correlated with students’ knowledge, students’ personality traits, and the economic environment of FTP (P<0.01), with Pearson coefficients of 0.534, 0.287, and 0.335, respectively. To cultivate interdisciplinary talents, the pedagogical principle should be developed, which involves enhancing curriculum, increasing practical experiences, and innovating instructional methods.

Research on the Influencing Factors of Cultivating Interdisciplinary Talents by College English in the Context of Free Trade Port Based on Knowledge Graph

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper proposes a named entity recognition method based on multitask pointer networks, which uses Transformer and BERT to extract features, thus greatly...

Research on the Influencing Factors of Cultivating Interdisciplinary Talents by College English in the Context of Free Trade Port Based on Knowledge Graph

Online veröffentlicht: 05. Juli 2024

Seitenbereich: -

Eingereicht: 21. Feb. 2024

Akzeptiert: 21. Mai 2024

DOI: https://doi.org/10.2478/amns-2024-1667

Schlüsselwörter
Named entity recognition, Knowledge graph, Free Trade Port, Influencing factors

© 2024 Shuzhen Wu., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on the Influencing Factors of Cultivating Interdisciplinary Talents by College English in the Context of Free Trade Port Based on Knowledge Graph

Online veröffentlicht: 05. Juli 2024

Seitenbereich: -

Eingereicht: 21. Feb. 2024

Akzeptiert: 21. Mai 2024

DOI: https://doi.org/10.2478/amns-2024-1667

SchlüsselwörterNamed entity recognition, Knowledge graph, Free Trade Port, Influencing factors

© 2024 Shuzhen Wu., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Named entity recognition, Knowledge graph, Free Trade Port, Influencing factors