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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 61–70 of 1729 papers

TitleStatusHype
calamanCy: A Tagalog Natural Language Processing ToolkitCode1
Data Augmentation for Cross-Domain Named Entity RecognitionCode1
Automatic extraction of materials and properties from superconductors scientific literatureCode1
Beheshti-NER: Persian Named Entity Recognition Using BERTCode1
From Zero to Hero: Harnessing Transformers for Biomedical Named Entity Recognition in Zero- and Few-shot ContextsCode1
A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NERCode1
A Unified Generative Framework for Various NER SubtasksCode1
AISHELL-NER: Named Entity Recognition from Chinese SpeechCode1
A Label-Aware Autoregressive Framework for Cross-Domain NERCode1
Supplementary Features of BiLSTM for Enhanced Sequence LabelingCode1
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