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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 351–360 of 1729 papers

TitleStatusHype
Federated Incremental Named Entity RecognitionCode0
Extraction of Medication and Temporal Relation from Clinical Text using Neural Language ModelsCode0
Exploring Swedish & English fastText Embeddings for NER with the TransformerCode0
Leveraging Cross-Lingual Transfer Learning in Spoken Named Entity Recognition SystemsCode0
Extracting Impact Model Narratives from Social Services' TextCode0
A Comparative Analysis of Static Word Embeddings for HungarianCode0
Exploring Robustness of Multilingual LLMs on Real-World Noisy DataCode0
Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation?Code0
Classification of US Supreme Court Cases using BERT-Based TechniquesCode0
Exploring Partial Knowledge Base Inference in Biomedical Entity LinkingCode0
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