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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 191–200 of 1729 papers

TitleStatusHype
Beheshti-NER: Persian Named Entity Recognition Using BERTCode1
Interpretable Multi-dataset Evaluation for Named Entity RecognitionCode1
KIND: an Italian Multi-Domain Dataset for Named Entity RecognitionCode1
KINNEWS and KIRNEWS: Benchmarking Cross-Lingual Text Classification for Kinyarwanda and KirundiCode1
A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NERCode1
KoCHET: a Korean Cultural Heritage corpus for Entity-related TasksCode1
A Dataset of German Legal Documents for Named Entity RecognitionCode1
Label-Guided In-Context Learning for Named Entity RecognitionCode1
From Zero to Hero: Harnessing Transformers for Biomedical Named Entity Recognition in Zero- and Few-shot ContextsCode1
Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERTCode1
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