Feature Engineering for Drug Name Recognition in Biomedical Texts: Feature Conjunction and Feature Selection
المؤلفون المشاركون
Wang, Xiaolong
Liu, Shengyu
Chen, Qingcai
Fan, Xiaoming
Tang, Buzhou
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-03-12
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
Drug name recognition (DNR) is a critical step for drug information extraction.
Machine learning-based methods have been widely used for DNR with various types of features such as part-of-speech, word shape, and dictionary feature.
Features used in current machine learning-based methods are usually singleton features which may be due to explosive features and a large number of noisy features when singleton features are combined into conjunction features.
However, singleton features that can only capture one linguistic characteristic of a word are not sufficient to describe the information for DNR when multiple characteristics should be considered.
In this study, we explore feature conjunction and feature selection for DNR, which have never been reported.
We intuitively select 8 types of singleton features and combine them into conjunction features in two ways.
Then, Chi-square, mutual information, and information gain are used to mine effective features.
Experimental results show that feature conjunction and feature selection can improve the performance of the DNR system with a moderate number of features and our DNR system significantly outperforms the best system in the DDIExtraction 2013 challenge.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Liu, Shengyu& Tang, Buzhou& Chen, Qingcai& Wang, Xiaolong& Fan, Xiaoming. 2015. Feature Engineering for Drug Name Recognition in Biomedical Texts: Feature Conjunction and Feature Selection. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1058036
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Liu, Shengyu…[et al.]. Feature Engineering for Drug Name Recognition in Biomedical Texts: Feature Conjunction and Feature Selection. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1058036
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Liu, Shengyu& Tang, Buzhou& Chen, Qingcai& Wang, Xiaolong& Fan, Xiaoming. Feature Engineering for Drug Name Recognition in Biomedical Texts: Feature Conjunction and Feature Selection. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1058036
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1058036
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر