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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
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
Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling—0
ner and pos when nothing is capitalized—0
Cloze-driven Pretraining of Self-attention Networks—0
Audio De-identification: A New Entity Recognition Task—0
Overview of the Ugglan Entity Discovery and Linking System—0
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