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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 281–290 of 1729 papers

TitleStatusHype
Few-shot classification in Named Entity Recognition TaskCode0
Few-shot Named Entity Recognition via Superposition Concept DiscriminationCode0
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy LabelsCode0
Automatic Identification and Normalisation of Physical Measurements in Scientific LiteratureCode0
Federated Incremental Named Entity RecognitionCode0
Automatic Extraction of Nested Entities in Clinical Referrals in SpanishCode0
ANEA: Automated (Named) Entity Annotation for German Domain-Specific TextsCode0
FewTopNER: Integrating Few-Shot Learning with Topic Modeling and Named Entity Recognition in a Multilingual FrameworkCode0
Extraction of Medication and Temporal Relation from Clinical Text using Neural Language ModelsCode0
Extracting Impact Model Narratives from Social Services' TextCode0
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