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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 11–20 of 1729 papers

TitleStatusHype
UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity RecognitionCode2
CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity RecognitionCode2
GPT-NER: Named Entity Recognition via Large Language ModelsCode2
Foresight -- Generative Pretrained Transformer (GPT) for Modelling of Patient Timelines using EHRsCode2
T-NER: An All-Round Python Library for Transformer-based Named Entity RecognitionCode2
Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph CompletionCode2
BERN2: an advanced neural biomedical named entity recognition and normalization toolCode2
FLAT: Chinese NER Using Flat-Lattice TransformerCode2
CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for ChineseCode2
Label-Guided In-Context Learning for Named Entity RecognitionCode1
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