ملف الباحث

Mohammad Golam Sohrab

ورقة واحدة في مجموعة PaperMetrix

المنشورات

أوراق هذا المؤلف

  1. 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.