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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 271–280 of 1729 papers

TitleStatusHype
Few-shot classification in Named Entity Recognition TaskCode0
Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention MechanismCode0
BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph FilteringCode0
Few-Shot Domain Adaptation for Named-Entity Recognition via Joint Constrained k-Means and Subspace SelectionCode0
BANER: Boundary-Aware LLMs for Few-Shot Named Entity RecognitionCode0
BAND: Biomedical Alert News DatasetCode0
A Byte-sized Approach to Named Entity RecognitionCode0
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy LabelsCode0
Federated Incremental Named Entity RecognitionCode0
Fine-Grained Error Analysis and Fair Evaluation of Labeled SpansCode0
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