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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 1591–1600 of 1729 papers

TitleStatusHype
CAN-NER: Convolutional Attention Network for Chinese Named Entity RecognitionCode0
The Structured Weighted Violations MIRACode0
NNVLP: A Neural Network-Based Vietnamese Language Processing ToolkitCode0
NoiseBench: Benchmarking the Impact of Real Label Noise on Named Entity RecognitionCode0
Distantly Supervised Named Entity Recognition using Positive-Unlabeled LearningCode0
A Prism Module for Semantic Disentanglement in Name Entity RecognitionCode0
Can LLM Substitute Human Labeling? A Case Study of Fine-grained Chinese Address Entity Recognition Dataset for UAV DeliveryCode0
A Primal Dual Formulation For Deep Learning With ConstraintsCode0
Nonet at SemEval-2023 Task 6: Methodologies for Legal EvaluationCode0
Self-Training Pre-Trained Language Models for Zero- and Few-Shot Multi-Dialectal Arabic Sequence LabelingCode0
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