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NER

The named entity recognition (NER) involves identification of key information in the text and classification into a set of predefined categories. This includes standard entities in the text like Part of Speech (PoS) and entities like places, names etc...

Papers

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Showing 1571–1580 of 1729 papers

TitleStatusHype
A Privacy-Preserving Approach to Extraction of Personal Information through Automatic Annotation and Federated LearningCode0
Tuning Multilingual Transformers for Language-Specific Named Entity RecognitionCode0
Judicious Selection of Training Data in Assisting Language for Multilingual Neural NERCode0
Analysis of Zero-Shot Crosslingual Learning between English and Korean for Named Entity RecognitionCode0
Neural Reranking for Named Entity RecognitionCode0
The Role of Global and Local Context in Named Entity RecognitionCode0
The Role of Natural Language Processing Tasks in Automatic Literary Character Network ConstructionCode0
NeuroNER: an easy-to-use program for named-entity recognition based on neural networksCode0
Do CoNLL-2003 Named Entity Taggers Still Work Well in 2023?Code0
Distantly Supervised NER with Partial Annotation Learning and Reinforcement LearningCode0
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