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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 1441–1450 of 1729 papers

TitleStatusHype
Merge and Label: A novel neural network architecture for nested NERCode0
Multi-Grained Named Entity RecognitionCode0
Towards Robust Named Entity Recognition for Historic GermanCode0
Sequence-to-Nuggets: Nested Entity Mention Detection via Anchor-Region NetworksCode0
Named Entity Recognition on Code-Switched Data: Overview of the CALCS 2018 Shared Task—0
GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence LabelingCode0
NNE: A Dataset for Nested Named Entity Recognition in English Newswire—0
Distantly Supervised Named Entity Recognition using Positive-Unlabeled LearningCode0
Converse Attention Knowledge Transfer for Low-Resource Named Entity Recognition—0
An Encoding Strategy Based Word-Character LSTM for Chinese NERCode0
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