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A new approach to automatically find and fix erroneous labels in dependency parsing treebanks
المؤلف
المصدر
The International Arab Journal of Information Technology
العدد
المجلد 18، العدد 3 (31 مايو/أيار 2021)، ص ص. 356-364، 9ص.
الناشر
جامعة الزرقاء عمادة البحث العلمي
تاريخ النشر
2021-05-31
دولة النشر
الأردن
عدد الصفحات
9
التخصصات الرئيسية
العلوم الاقتصادية والمالية وإدارة الأعمال
الملخص EN
Dependency Parsing (DP) is the existence of sub-term/upper-term relations between the words that make up that sentence for each sentence in the text.
DP serves to produce meaningful information for high-level applications.
Correct labeling of the text corpus used in DP studies is very important.
There will be mistakes in the results of the studies that will be performed with the wrongly-labeled text corpus.
If text corpus is labeled manually or automatically by human beings, then faulty cases will occur.
As a result of the cases that may arise from human factors or annotations used for labeling, faulty labels will be on treebanks.
In order to prevent these errors, detection, and correction of possible faulty labeling is very important in terms of increasing the accuracy of the studies to be carried out.
Manual correction of possible faulty labels requires great effort and time.
The purpose of this study is to create a model that automatically finds possible faulty labels and offers new label suggestions for faulty labels.
With the help of the proposed model, it is aimed to detect and correct possible faulty labels that are included in a text corpus, and to increase consistency among the text corpus of the same language.
With the help of the developed model, suggesting new labels for faulty labels by a language expert will be a great convenient for the specialist.
Another advantage of the model is that the developed model provides a language-independent structure.
It has succeeded in obtaining successful results in finding and correcting potentially faulty labels in experimental studies for Turkish.
An increase in accuracy has been detected in studies carried out for languages other than Turkish.
In investigating the accuracy of the results obtained by the system, the results were analyzed with the help of 10 different language experts.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Bilgin, Metin. 2021. A new approach to automatically find and fix erroneous labels in dependency parsing treebanks. The International Arab Journal of Information Technology،Vol. 18, no. 3, pp.356-364.
https://search.emarefa.net/detail/BIM-1432219
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Bilgin, Metin. A new approach to automatically find and fix erroneous labels in dependency parsing treebanks. The International Arab Journal of Information Technology Vol. 18, no. 3 (May. 2021), pp.356-364.
https://search.emarefa.net/detail/BIM-1432219
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Bilgin, Metin. A new approach to automatically find and fix erroneous labels in dependency parsing treebanks. The International Arab Journal of Information Technology. 2021. Vol. 18, no. 3, pp.356-364.
https://search.emarefa.net/detail/BIM-1432219
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 362-364
رقم السجل
BIM-1432219
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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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
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