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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 51–60 of 1729 papers

TitleStatusHype
HEProto: A Hierarchical Enhancing ProtoNet based on Multi-Task Learning for Few-shot Named Entity RecognitionCode1
Enhancing Low-resource Fine-grained Named Entity Recognition by Leveraging Coarse-grained DatasetsCode1
Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path PredictionCode1
Empirical Study of Zero-Shot NER with ChatGPTCode1
Label Supervised LLaMA FinetuningCode1
DiscoverPath: A Knowledge Refinement and Retrieval System for Interdisciplinarity on Biomedical ResearchCode1
A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NERCode1
How far is Language Model from 100% Few-shot Named Entity Recognition in Medical DomainCode1
ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NERCode1
Supplementary Features of BiLSTM for Enhanced Sequence LabelingCode1
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