ENEX-FP: A BERT-Based Address Recognition Model
In e-commerce logistics, government registration, financial transportation and other fields, communication addresses are required. Analyzing the communication address is crucial. There are various challenges in address recognition due to the address text’s features of free writing, numerous aliases...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-01-01
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| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/12/1/209 |
| _version_ | 1797625987353018368 |
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| author | Min Li Zeyu Liu Gang Li Mingle Zhou Delong Han |
| author_facet | Min Li Zeyu Liu Gang Li Mingle Zhou Delong Han |
| author_sort | Min Li |
| collection | DOAJ |
| description | In e-commerce logistics, government registration, financial transportation and other fields, communication addresses are required. Analyzing the communication address is crucial. There are various challenges in address recognition due to the address text’s features of free writing, numerous aliases and significant text similarity. This study shows an ENEX-FP address recognition model, which consists of an entity extractor (ENEX) and a feature processor (FP) for address recognition, as a solution to the issues mentioned. This study uses adversarial training to enhance the model’s robustness and a hierarchical learning rate setup and learning rate attenuation technique to enhance recognition accuracy. Compared with traditional named entity recognition models, our model achieves an F1-score of 93.47% and 94.59% in the dataset, demonstrating the ENEX-FP model’s effectiveness in recognizing addresses. |
| first_indexed | 2024-03-11T10:04:10Z |
| format | Article |
| id | doaj.art-af02bfea281a435a8365381437627fc7 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-11T10:04:10Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-af02bfea281a435a8365381437627fc72023-11-16T15:12:36ZengMDPI AGElectronics2079-92922023-01-0112120910.3390/electronics12010209ENEX-FP: A BERT-Based Address Recognition ModelMin Li0Zeyu Liu1Gang Li2Mingle Zhou3Delong Han4Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, ChinaShandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, ChinaShandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, ChinaShandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, ChinaShandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, ChinaIn e-commerce logistics, government registration, financial transportation and other fields, communication addresses are required. Analyzing the communication address is crucial. There are various challenges in address recognition due to the address text’s features of free writing, numerous aliases and significant text similarity. This study shows an ENEX-FP address recognition model, which consists of an entity extractor (ENEX) and a feature processor (FP) for address recognition, as a solution to the issues mentioned. This study uses adversarial training to enhance the model’s robustness and a hierarchical learning rate setup and learning rate attenuation technique to enhance recognition accuracy. Compared with traditional named entity recognition models, our model achieves an F1-score of 93.47% and 94.59% in the dataset, demonstrating the ENEX-FP model’s effectiveness in recognizing addresses.https://www.mdpi.com/2079-9292/12/1/209named entity recognitionBERTaddress recognitionadversarial trainingNLP |
| spellingShingle | Min Li Zeyu Liu Gang Li Mingle Zhou Delong Han ENEX-FP: A BERT-Based Address Recognition Model Electronics named entity recognition BERT address recognition adversarial training NLP |
| title | ENEX-FP: A BERT-Based Address Recognition Model |
| title_full | ENEX-FP: A BERT-Based Address Recognition Model |
| title_fullStr | ENEX-FP: A BERT-Based Address Recognition Model |
| title_full_unstemmed | ENEX-FP: A BERT-Based Address Recognition Model |
| title_short | ENEX-FP: A BERT-Based Address Recognition Model |
| title_sort | enex fp a bert based address recognition model |
| topic | named entity recognition BERT address recognition adversarial training NLP |
| url | https://www.mdpi.com/2079-9292/12/1/209 |
| work_keys_str_mv | AT minli enexfpabertbasedaddressrecognitionmodel AT zeyuliu enexfpabertbasedaddressrecognitionmodel AT gangli enexfpabertbasedaddressrecognitionmodel AT minglezhou enexfpabertbasedaddressrecognitionmodel AT delonghan enexfpabertbasedaddressrecognitionmodel |