A Survey on Deep Learning for Named Entity Recognition

Named entity recognition (NER) is the task to identify mentions of rigid designators from text belonging to predefined semantic types such as person, location, organization etc. NER always serves as the foundation for many natural language applications such as question answering, text summarization,...

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Vydáno v:	IEEE transactions on knowledge and data engineering Ročník 34; číslo 1; s. 50 - 70
Hlavní autoři:	Li, Jing, Sun, Aixin, Han, Jianglei, Li, Chenliang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.01.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Annotations Coders Deep learning Encyclopedias Human engineering Machine translation named entity recognition Natural language processing Recognition Representations Semantics survey Task analysis Taxonomy Text recognition
ISSN:	1041-4347, 1558-2191
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!