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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

Showing 921930 of 1729 papers

TitleStatusHype
Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework0
AdaK-NER: An Adaptive Top-K Approach for Named Entity Recognition with Incomplete Annotations0
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-TrainingCode1
AutoTriggER: Label-Efficient and Robust Named Entity Recognition with Auxiliary Trigger Extraction0
Truth Discovery in Sequence Labels from CrowdsCode0
Biomedical and Clinical Language Models for Spanish: On the Benefits of Domain-Specific Pretraining in a Mid-Resource Scenario0
Data Augmentation for Cross-Domain Named Entity RecognitionCode1
Empirical Study of Named Entity Recognition Performance Using Distribution-aware Word Embedding0
An Open-Source Dataset and A Multi-Task Model for Malay Named Entity Recognition0
TR-SEQ: Named Entity Recognition Dataset for Turkish Search Engine Queries0
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