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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 851–860 of 1729 papers

TitleStatusHype
Information Extraction: An application to the domain of hyper-local financial data on developing countries—0
CroAno : A Crowd Annotation Platform for Improving Label Consistency of Chinese NER Dataset—0
Impact of translation on biomedical information extraction from real-life clinical notes—0
Attribute Value Generation from Product Title using Language Models—0
EL4NER: Ensemble Learning for Named Entity Recognition via Multiple Small-Parameter Large Language Models—0
Improved Named Entity Recognition for Noisy Call Center Transcripts—0
Improving a Named Entity Recognizer Trained on Noisy Data with a Few Clean Instances—0
Improving Autoregressive Training with Dynamic Oracles—0
Cross-domain Named Entity Recognition via Graph Matching—0
EIoU-EMC: A Novel Loss for Domain-specific Nested Entity Recognition—0
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