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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 1201–1210 of 1729 papers

TitleStatusHype
HunFlair: An Easy-to-Use Tool for State-of-the-Art Biomedical Named Entity RecognitionCode0
Assessing Demographic Bias in Named Entity RecognitionCode0
Navigating the landscape of COVID-19 research through literature analysis: A bird's eye view—0
Object-aware Multimodal Named Entity Recognition in Social Media Posts with Adversarial LearningCode1
Domain-Specific Language Model Pretraining for Biomedical Natural Language ProcessingCode0
Exploring Swedish & English fastText Embeddings for NER with the TransformerCode0
newsSweeper at SemEval-2020 Task 11: Context-Aware Rich Feature Representations For Propaganda ClassificationCode1
Neural Named Entity Recognition for Kazakh—0
SLK-NER: Exploiting Second-order Lexicon Knowledge for Chinese NERCode1
UniTrans: Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled DataCode0
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