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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 481–490 of 1729 papers

TitleStatusHype
SCANNER: Knowledge-Enhanced Approach for Robust Multi-modal Named Entity Recognition of Unseen Entities—0
Utilizing AI and Social Media Analytics to Discover Adverse Side Effects of GLP-1 Receptor Agonists—0
Augmenting NER Datasets with LLMs: Towards Automated and Refined Annotation—0
Cross-Lingual Transfer Robustness to Lower-Resource Languages on Adversarial DatasetsCode0
Extracting Biomedical Entities from Noisy Audio Transcripts—0
Improving Pre-trained Language Model Sensitivity via Mask Specific losses: A case study on Biomedical NERCode0
ELLEN: Extremely Lightly Supervised Learning For Efficient Named Entity RecognitionCode0
SPLICE: A Singleton-Enhanced PipeLIne for Coreference REsolutionCode0
Few-shot Named Entity Recognition via Superposition Concept DiscriminationCode0
Korean Bio-Medical Corpus (KBMC) for Medical Named Entity Recognition—0
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