Academic Journal
Named Entity Recognition of Enterprise Annual Report Integrated with BERT
| العنوان: | Named Entity Recognition of Enterprise Annual Report Integrated with BERT |
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| المؤلفون: | ZHANG Jingyi, HE Guanghui, DAI Zhou, LIU Yadong |
| المصدر: | Shanghai Jiaotong Daxue xuebao, Vol 55, Iss 02, Pp 117-123 (2021) |
| بيانات النشر: | Editorial Office of Journal of Shanghai Jiao Tong University, 2021. |
| سنة النشر: | 2021 |
| المجموعة: | LCC:Engineering (General). Civil engineering (General) LCC:Chemical engineering LCC:Naval architecture. Shipbuilding. Marine engineering |
| مصطلحات موضوعية: | named entity recognition, enterprise annual report, bert, attention mechanism, bigru, Engineering (General). Civil engineering (General), TA1-2040, Chemical engineering, TP155-156, Naval architecture. Shipbuilding. Marine engineering, VM1-989 |
| الوصف: | Automatically extracting key data from annual reports is an important means of business assessments. Aimed at the characteristics of complex entities, strong contextual semantics, and small scale of key entities in the field of corporate annual reports, a BERT-BiGRU-Attention-CRF model was proposed to automatically identify and extract entities in the annual reports of enterprises. Based on the BiGRU-CRF model, the BERT pre-trained language model was used to enhance the generalization ability of the word vector model to capture long-range contextual information. Furthermore, the attention mechanism was used to fully mine the global and local features of the text. The experiment was performed on a self-constructed corporate annual report corpus, and the model was compared with multiple sets of models. The results show that the value of F1 (harmonic mean of precision and recall) of the BERT-BiGRU-Attention-CRF model is 93.69%. The model has a better performance than other traditional models in annual reports, and is expected to provide an automatic means for enterprise assessments. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | Chinese |
| تدمد: | 1006-2467 |
| Relation: | http://xuebao.sjtu.edu.cn/CN/10.16183/j.cnki.jsjtu.2020.009; https://doaj.org/toc/1006-2467 |
| DOI: | 10.16183/j.cnki.jsjtu.2020.009 |
| URL الوصول: | https://doaj.org/article/c4565136a5154fab92cc274152f36533 |
| رقم الانضمام: | edsdoj.4565136a5154fab92cc274152f36533 |
| قاعدة البيانات: | Directory of Open Access Journals |
| تدمد: | 10062467 |
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| DOI: | 10.16183/j.cnki.jsjtu.2020.009 |