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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 961–970 of 1729 papers

TitleStatusHype
Meta-Learning for Few-Shot Named Entity Recognition—0
TexSmart: A System for Enhanced Natural Language Understanding—0
Subsequence Based Deep Active Learning for Named Entity Recognition—0
An End-to-End Progressive Multi-Task Learning Framework for Medical Named Entity Recognition and NormalizationCode1
Enhancing Entity Boundary Detection for Better Chinese Named Entity RecognitionCode1
Modularized Interaction Network for Named Entity Recognition—0
Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity RecognitionCode0
MulDA: A Multilingual Data Augmentation Framework for Low-Resource Cross-Lingual NER—0
A Large-Scale Chinese Multimodal NER Dataset with Speech CluesCode1
Improving Model Generalization: A Chinese Named Entity Recognition Case Study—0
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