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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 1241–1250 of 1729 papers

TitleStatusHype
Two Step Joint Model for Drug Drug Interaction Extraction—0
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
Domain-Specific Language Model Pretraining for Biomedical Natural Language ProcessingCode0
Exploring Swedish & English fastText Embeddings for NER with the TransformerCode0
Neural Named Entity Recognition for Kazakh—0
UniTrans: Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled DataCode0
Neural Knowledge Extraction From Cloud Service Incidents—0
NLP Service APIs and Models for Efficient Registration of New Clients—0
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