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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 1401–1410 of 1729 papers

TitleStatusHype
"Diversity and Uncertainty in Moderation" are the Key to Data Selection for Multilingual Few-shot Transfer—0
”Diversity and Uncertainty in Moderation” are the Key to Data Selection for Multilingual Few-shot Transfer—0
DM\_NLP at SemEval-2018 Task 8: neural sequence labeling with linguistic features—0
Does Synthetic Data Help Named Entity Recognition for Low-Resource Languages?—0
Domain Adaptation for Named Entity Recognition in Online Media with Word Embeddings—0
Domain Adaptation for Named Entity Recognition Using CRFs—0
Domain-Transferable Method for Named Entity Recognition Task—0
DreamDrug - A crowdsourced NER dataset for detecting drugs in darknet markets—0
DS4DH at SemEval-2022 Task 11: Multilingual Named Entity Recognition Using an Ensemble of Transformer-based Language Models—0
Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition—0
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