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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 461–470 of 1729 papers

TitleStatusHype
Automatic Creation of Named Entity Recognition Datasets by Querying Phrase Representations—0
DaNE: A Named Entity Resource for Danish—0
CMNEROne at SemEval-2022 Task 11: Code-Mixed Named Entity Recognition by leveraging multilingual data—0
A Rule-Based Methodology for Company Identification: Application to the Downstream Space Sector—0
A Multilingual Evaluation of NER Robustness to Adversarial Inputs—0
Adversarial Learning for Chinese NER from Crowd Annotations—0
Clustering-based Automatic Construction of Legal Entity Knowledge Base from Contracts—0
Cloze-driven Pretraining of Self-attention Networks—0
Data-Constrained Synthesis of Training Data for De-Identification—0
A Rigorous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land?—0
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