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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 501–510 of 1729 papers

TitleStatusHype
EIoU-EMC: A Novel Loss for Domain-specific Nested Entity Recognition—0
Development of a Dataset and a Deep Learning Baseline Named Entity Recognizer for Three Low Resource Languages: Bhojpuri, Maithili and Magahi—0
Development of a WAZOBIA-Named Entity Recognition System—0
DeviceBERT: Applied Transfer Learning With Targeted Annotations and Vocabulary Enrichment to Identify Medical Device and Component Terminology in FDA Recall Summaries—0
DEXTER: Deep Encoding of External Knowledge for Named Entity Recognition in Virtual Assistants—0
DGT-TM: A freely Available Translation Memory in 22 Languages—0
CLLMFS: A Contrastive Learning enhanced Large Language Model Framework for Few-Shot Named Entity Recognition—0
DictBERT: Dictionary Description Knowledge Enhanced Language Model Pre-training via Contrastive Learning—0
An Empirical Study on Fine-Grained Named Entity Recognition—0
Clinical Trial Information Extraction with BERT—0
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