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pro vyhledávání: '"Imranul Ashrafi"'
Autor:
Imranul Ashrafi, Muntasir Mohammad, Arani Shawkat Mauree, Galib Md. Azraf Nijhum, Redwanul Karim, Nabeel Mohammed, Sifat Momen
Publikováno v:
IEEE Access, Vol 8, Pp 58206-58226 (2020)
Named Entity Recognition (NER) is a task in Natural Language Processing (NLP) that aims to classify words into a predetermined list of Named Entities (NE). Many architectures have produced good results on high resourced languages like English and Chi
Externí odkaz:
https://doaj.org/article/b690e7e86e8f4138960c217c6f3b0299
Publikováno v:
Proceedings of the 2019 7th International Conference on Computer and Communications Management.
Few-shot Learning is an object categorization problem where the classifier attempts to distinguish new classes with very few labeled examples. There has been significant progress in this field, which includes complex network architectures. Most of th
Autor:
Roy, Koushik, Hossain, Md Sazzad, Saha, Pritom Kumar, Rohan, Shadman, Ashrafi, Imranul, Rezwan, Ifty Mohammad, Rahman, Fuad, Hossain, B. M. Mainul, Kabir, Ahmedul, Mohammed, Nabeel
Publikováno v:
International Journal on Document Analysis & Recognition; Mar2024, Vol. 27 Issue 1, p73-95, 23p
Publikováno v:
ACM International Conference Proceeding Series; 7/27/2019, p177-180, 4p