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An Entity Relation Extraction Method for Few-Shot Learning on the Food Health and Safety Domain
In recent years, entity relation extraction has been a critical technique to help people analyze complex structured text data. However, there is no advanced research in food health and safety to help people analyze the complex concepts between food and human health and their relationships. This pape...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8885244/ https://www.ncbi.nlm.nih.gov/pubmed/35237307 http://dx.doi.org/10.1155/2022/1879483 |
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author | Zuo, Min Zhang, Baoyu Zhang, Qingchuan Yan, Wenjing Ai, Dongmei |
author_facet | Zuo, Min Zhang, Baoyu Zhang, Qingchuan Yan, Wenjing Ai, Dongmei |
author_sort | Zuo, Min |
collection | PubMed |
description | In recent years, entity relation extraction has been a critical technique to help people analyze complex structured text data. However, there is no advanced research in food health and safety to help people analyze the complex concepts between food and human health and their relationships. This paper proposes an entity relation extraction method FHER for the few-shot learning in the food health and safety domain. For few-shot learning in the food health and safety domain, we propose three methods that effectively improve the performance of entity relationship extraction. The three methods are applied to the self-built data sets FH and MHD. The experimental results show that the method can effectively extract domain-related entities and their relations in a small sample size environment. |
format | Online Article Text |
id | pubmed-8885244 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-88852442022-03-01 An Entity Relation Extraction Method for Few-Shot Learning on the Food Health and Safety Domain Zuo, Min Zhang, Baoyu Zhang, Qingchuan Yan, Wenjing Ai, Dongmei Comput Intell Neurosci Research Article In recent years, entity relation extraction has been a critical technique to help people analyze complex structured text data. However, there is no advanced research in food health and safety to help people analyze the complex concepts between food and human health and their relationships. This paper proposes an entity relation extraction method FHER for the few-shot learning in the food health and safety domain. For few-shot learning in the food health and safety domain, we propose three methods that effectively improve the performance of entity relationship extraction. The three methods are applied to the self-built data sets FH and MHD. The experimental results show that the method can effectively extract domain-related entities and their relations in a small sample size environment. Hindawi 2022-02-21 /pmc/articles/PMC8885244/ /pubmed/35237307 http://dx.doi.org/10.1155/2022/1879483 Text en Copyright © 2022 Min Zuo et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Zuo, Min Zhang, Baoyu Zhang, Qingchuan Yan, Wenjing Ai, Dongmei An Entity Relation Extraction Method for Few-Shot Learning on the Food Health and Safety Domain |
title | An Entity Relation Extraction Method for Few-Shot Learning on the Food Health and Safety Domain |
title_full | An Entity Relation Extraction Method for Few-Shot Learning on the Food Health and Safety Domain |
title_fullStr | An Entity Relation Extraction Method for Few-Shot Learning on the Food Health and Safety Domain |
title_full_unstemmed | An Entity Relation Extraction Method for Few-Shot Learning on the Food Health and Safety Domain |
title_short | An Entity Relation Extraction Method for Few-Shot Learning on the Food Health and Safety Domain |
title_sort | entity relation extraction method for few-shot learning on the food health and safety domain |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8885244/ https://www.ncbi.nlm.nih.gov/pubmed/35237307 http://dx.doi.org/10.1155/2022/1879483 |
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