کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6890698 1445216 2018 31 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Deep neural models for extracting entities and relationships in the new RDD corpus relating disabilities and rare diseases
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
پیش نمایش صفحه اول مقاله
Deep neural models for extracting entities and relationships in the new RDD corpus relating disabilities and rare diseases
چکیده انگلیسی
The developed corpus will allow to train systems to identify disabilities in biomedical documents, which the current annotation systems are not able to detect. The system could also be trained to detect relationships between them and diseases, as well as negation and speculation, that can change the meaning of the language. The deep learning models designed for identifying disabilities and their relationships to diseases in new documents show that the corpus allows obtaining an F-measure of around 81% for the disability recognition and 75% for relation extraction.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Methods and Programs in Biomedicine - Volume 164, October 2018, Pages 121-129
نویسندگان
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