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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 901–910 of 1729 papers

TitleStatusHype
UM6P-CS at SemEval-2022 Task 11: Enhancing Multilingual and Code-Mixed Complex Named Entity Recognition via Pseudo Labels using Multilingual Transformer—0
Local Hypergraph-based Nested Named Entity Recognition as Query-based Sequence Labeling—0
Nested Named Entity Recognition as Holistic Structure Parsing—0
Qtrade AI at SemEval-2022 Task 11: An Unified Framework for Multilingual NER Task—0
The Impact of Cross-Lingual Adjustment of Contextual Word Representations on Zero-Shot TransferCode0
L3Cube-MahaNER: A Marathi Named Entity Recognition Dataset and BERT models—0
Delving Deep into Regularity: A Simple but Effective Method for Chinese Named Entity Recognition—0
Solving Price Per Unit Problem Around the World: Formulating Fact Extraction as Question Answering—0
Trigger-GNN: A Trigger-Based Graph Neural Network for Nested Named Entity Recognition—0
Automatic Extraction of Nested Entities in Clinical Referrals in SpanishCode0
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