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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

Showing 321330 of 1729 papers

TitleStatusHype
Analysing The Impact Of Linguistic Features On Cross-Lingual TransferCode0
A Survey on Deep Learning for Named Entity RecognitionCode0
Federated Incremental Named Entity RecognitionCode0
Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy LabelsCode0
Extracting Impact Model Narratives from Social Services' TextCode0
Extraction of Medication and Temporal Relation from Clinical Text using Neural Language ModelsCode0
ASTRAL: Adversarial Trained LSTM-CNN for Named Entity RecognitionCode0
A Multi-way Parallel Named Entity Annotated Corpus for English, Tamil and SinhalaCode0
Exploring Segment Representations for Neural Segmentation ModelsCode0
A Boundary Offset Prediction Network for Named Entity RecognitionCode0
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