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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 1041–1050 of 1729 papers

TitleStatusHype
ComboNER: A Lightweight All-In-One POS Tagger, Dependency Parser and NER—0
Multilingual Epidemic Event Extraction : From Simple Classification Methods to Open Information Extraction (OIE) and Ontology—0
LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable PromptingCode0
Multi-Task Triplet Loss for Named Entity Recognition using Supplementary Text—0
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
DEXTER: Deep Encoding of External Knowledge for Named Entity Recognition in Virtual Assistants—0
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