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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 81–90 of 1729 papers

TitleStatusHype
PUnifiedNER: A Prompting-based Unified NER System for Diverse DatasetsCode1
GENIUS: Sketch-based Language Model Pre-training via Extreme and Selective Masking for Text Generation and AugmentationCode1
ConNER: Consistency Training for Cross-lingual Named Entity RecognitionCode1
Prompt-Based Metric Learning for Few-Shot NERCode1
Named Entity Recognition in Indian court judgmentsCode1
AfroLM: A Self-Active Learning-based Multilingual Pretrained Language Model for 23 African LanguagesCode1
TOE: A Grid-Tagging Discontinuous NER Model Enhanced by Embedding Tag/Word Relations and More Fine-Grained TagsCode1
Automatic extraction of materials and properties from superconductors scientific literatureCode1
Multi-Granularity Cross-Modality Representation Learning for Named Entity Recognition on Social MediaCode1
End-to-End Entity Detection with Proposer and RegressorCode1
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