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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 611–620 of 1729 papers

TitleStatusHype
A Noise-Robust Loss for Unlabeled Entity Problem in Named Entity Recognition—0
Enhancing Supply Chain Visibility with Knowledge Graphs and Large Language Models—0
Enriching a Fashion Knowledge Graph from Product Textual Descriptions—0
Enriching Relation Extraction with OpenIE—0
A Knowledge-Enhanced Disease Diagnosis Method Based on Prompt Learning and BERT Integration—0
Entity-to-Text based Data Augmentation for various Named Entity Recognition Tasks—0
Entity Candidate Network for Whole-Aware Named Entity Recognition—0
Entity Decomposition with Filtering: A Zero-Shot Clinical Named Entity Recognition Framework—0
Entity Enhanced BERT Pre-training for Chinese NER—0
Boosting Named Entity Recognition with Neural Character Embeddings—0
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