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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 1711–1720 of 1729 papers

TitleStatusHype
MANER: Mask Augmented Named Entity Recognition for Extreme Low-Resource Languages—0
Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets—0
Margin-aware Unsupervised Domain Adaptation for Cross-lingual Text Labeling—0
mCL-NER: Cross-Lingual Named Entity Recognition via Multi-view Contrastive Learning—0
MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot Slot Tagging—0
MedCAT -- Medical Concept Annotation Tool—0
MedCATTrainer: A Biomedical Free Text Annotation Interface with Active Learning and Research Use Case Specific Customisation—0
Medical Spoken Named Entity Recognition—0
Memory, Show the Way: Memory Based Few Shot Word Representation Learning—0
Merge and Recognize: A Geometry and 2D Context Aware Graph Model for Named Entity Recognition from Visual Documents—0
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