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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 941–950 of 1729 papers

TitleStatusHype
MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NERCode1
LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable PromptingCode0
TNNT: The Named Entity Recognition ToolkitCode1
MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot Slot Tagging—0
Rethinking Negative Sampling for Handling Missing Entity Annotations—0
CancerBERT: a BERT model for Extracting Breast Cancer Phenotypes from Electronic Health Records—0
Deploying a BERT-based Query-Title Relevance Classifier in a Production System: a View from the Trenches—0
QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction—0
MobIE: A German Dataset for Named Entity Recognition, Entity Linking and Relation Extraction in the Mobility DomainCode1
An Effective System for Multi-format Information ExtractionCode1
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