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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 1161–1170 of 1729 papers

TitleStatusHype
Named Entity Recognition for Social Media Texts with Semantic AugmentationCode1
WNUT-2020 Task 1 Overview: Extracting Entities and Relations from Wet Lab ProtocolsCode1
Auxiliary Sequence Labeling Tasks for Disfluency Detection—0
Improving Multilingual Models with Language-Clustered Vocabularies—0
Can images help recognize entities? A study of the role of images for Multimodal NERCode1
KINNEWS and KIRNEWS: Benchmarking Cross-Lingual Text Classification for Kinyarwanda and KirundiCode1
UNER: Universal Named-Entity RecognitionFramework—0
FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input RepresentationsCode1
German's Next Language ModelCode1
Performance of Transfer Learning Model vs. Traditional Neural Network in Low System Resource Environment—0
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