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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
Foresight -- Generative Pretrained Transformer (GPT) for Modelling of Patient Timelines using EHRsCode2
GLiNER: Generalist Model for Named Entity Recognition using Bidirectional TransformerCode2
TechGPT-2.0: A large language model project to solve the task of knowledge graph constructionCode2
T-NER: An All-Round Python Library for Transformer-based Named Entity RecognitionCode2
CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for ChineseCode2
BERN2: an advanced neural biomedical named entity recognition and normalization toolCode2
CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity RecognitionCode2
FLAT: Chinese NER Using Flat-Lattice TransformerCode2
Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph CompletionCode2
A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NERCode1
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