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Relation Extraction Based on Fusion Dependency Parsing from Chinese EMRs
المؤلفون المشاركون
Zhang, Beibei
Zhai, Pengjun
Huang, Xin
Fang, Yu
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-06-08
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
The Electronic Medical Record (EMR) contains a great deal of medical knowledge related to patients, which has been widely used in the construction of medical knowledge graphs.
Previous studies mainly focus on the features based on surface semantics of EMRs for relation extraction, such as contextual feature, but the features of sentence structure in Chinese EMRs have been neglected.
In this paper, a fusion dependency parsing-based relation extraction method is proposed.
Specifically, this paper extends basic features with medical record feature and indicator feature that are applicable to Chinese EMRs.
Furthermore, dependency syntactic features are introduced to analyse the dependency structure of sentences.
Finally, the F1 value of relation extraction based on extended features is 4.87% higher than that of relation extraction based on basic features.
And compared with the former, the F1 value of relation extraction based on fusion dependency parsing is increased by 4.39%.
The results of experiments performed on a Chinese EMR data set show that the extended features and dependency parsing all contribute to the relation extraction.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhai, Pengjun& Huang, Xin& Zhang, Beibei& Fang, Yu. 2020. Relation Extraction Based on Fusion Dependency Parsing from Chinese EMRs. Scientific Programming،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1209140
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhai, Pengjun…[et al.]. Relation Extraction Based on Fusion Dependency Parsing from Chinese EMRs. Scientific Programming No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1209140
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhai, Pengjun& Huang, Xin& Zhang, Beibei& Fang, Yu. Relation Extraction Based on Fusion Dependency Parsing from Chinese EMRs. Scientific Programming. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1209140
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1209140
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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