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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 851–860 of 1729 papers

TitleStatusHype
"Diversity and Uncertainty in Moderation" are the Key to Data Selection for Multilingual Few-shot Transfer—0
GERNERMED++: Transfer Learning in German Medical NLPCode0
Evaluation of Embedding Models for Automatic Extraction and Classification of Acknowledged Entities in Scientific Documents—0
Contextualization and Generalization in Entity and Relation Extraction—0
CMNEROne at SemEval-2022 Task 11: Code-Mixed Named Entity Recognition by leveraging multilingual data—0
Searching for Optimal Subword Tokenization in Cross-domain NERCode0
Enriching a Fashion Knowledge Graph from Product Textual Descriptions—0
NerKor+Cars-OntoNotes++Code0
A Named Entity Recognition Corpus for Vietnamese Biomedical Texts to Support Tuberculosis TreatmentCode0
The Bulgarian Event Corpus: Overview and Initial NER Experiments—0
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