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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 1471–1480 of 1729 papers

TitleStatusHype
DATNet: Dual Adversarial Transfer for Low-resource Named Entity Recognition—0
Terminologies augmented recurrent neural network model for clinical named entity recognition—0
Personalized sentence generation using generative adversarial networks with author-specific word usage—0
An attention-based BiLSTM-CRF approach to document-level chemical named entity recognitionCode0
Knowledge-Augmented Language Model and its Application to Unsupervised Named-Entity RecognitionCode0
A Multi-task Learning Approach for Named Entity Recognition using Local Detection—0
Effective Context and Fragment Feature Usage for Named Entity Recognition—0
Probing Biomedical Embeddings from Language ModelsCode0
CAN-NER: Convolutional Attention Network for Chinese Named Entity RecognitionCode0
In Search of Meaning: Lessons, Resources and Next Steps for Computational Analysis of Financial Discourse—0
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