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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 301–310 of 1729 papers

TitleStatusHype
Federated Incremental Named Entity RecognitionCode0
Few-shot classification in Named Entity Recognition TaskCode0
Few-Shot Domain Adaptation for Named-Entity Recognition via Joint Constrained k-Means and Subspace SelectionCode0
A Named Entity Recognition Corpus for Vietnamese Biomedical Texts to Support Tuberculosis TreatmentCode0
Augmenting Biomedical Named Entity Recognition with General-domain ResourcesCode0
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy LabelsCode0
Leveraging Cross-Lingual Transfer Learning in Spoken Named Entity Recognition SystemsCode0
A Deep Neural Network Model for the Task of Named Entity RecognitionCode0
Exploring Swedish & English fastText Embeddings for NER with the TransformerCode0
Attending to Long-Distance Document Context for Sequence LabelingCode0
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