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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 911–920 of 1729 papers

TitleStatusHype
Multilinguals at SemEval-2022 Task 11: Transformer Based Architecture for Complex NERCode0
Extracting Impact Model Narratives from Social Services' TextCode0
Product Market Demand Analysis Using NLP in Banglish Text with Sentiment Analysis and Named Entity Recognition—0
A Dual-Contrastive Framework for Low-Resource Cross-Lingual Named Entity RecognitionCode0
Federated Named Entity Recognition—0
Hierarchical Transformer Model for Scientific Named Entity RecognitionCode0
Mono vs Multilingual BERT: A Case Study in Hindi and Marathi Named Entity Recognition—0
Leveraging Expert Guided Adversarial Augmentation For Improving Generalization in Named Entity RecognitionCode0
UlyssesNER-Br: A Corpus of Brazilian Legislative Documents for Named Entity Recognition—0
ProtagonistTagger -- a Tool for Entity Linkage of Persons in Texts from Various Languages and Domains—0
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