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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 171–180 of 1729 papers

TitleStatusHype
Fast and Accurate Entity Recognition with Iterated Dilated ConvolutionsCode1
fastHan: A BERT-based Multi-Task Toolkit for Chinese NLPCode1
Few-Shot Cross-lingual Transfer for Coarse-grained De-identification of Code-Mixed Clinical TextsCode1
Few-Shot Named Entity Recognition: A Comprehensive StudyCode1
FiNER-ORD: Financial Named Entity Recognition Open Research DatasetCode1
An End-to-End Progressive Multi-Task Learning Framework for Medical Named Entity Recognition and NormalizationCode1
Focusing on Potential Named Entities During Active Label AcquisitionCode1
A Robust and Domain-Adaptive Approach for Low-Resource Named Entity RecognitionCode1
GENIUS: Sketch-based Language Model Pre-training via Extreme and Selective Masking for Text Generation and AugmentationCode1
A Simple but Effective Approach to Improve Structured Language Model Output for Information ExtractionCode1
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