ملف الباحث
Mohammad Golam Sohrab
ورقة واحدة في مجموعة PaperMetrix
المنشورات
أوراق هذا المؤلف
-
Deep Exhaustive Model for Nested Named Entity Recognition
2018
We propose a simple deep neural model for nested named entity recognition (NER). Most NER models focused on flat entities and ignored nested entities, which failed to fully capture underlying semantic information in texts.