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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 231–240 of 1729 papers

TitleStatusHype
Automatic extraction of materials and properties from superconductors scientific literatureCode1
Computationally Efficient NER Taggers with Combined Embeddings and Constrained DecodingCode1
Rethinking Generalization of Neural Models: A Named Entity Recognition Case StudyCode1
Deep Active Learning for Named Entity RecognitionCode1
FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input RepresentationsCode1
RpBERT: A Text-image Relation Propagation-based BERT Model for Multimodal NERCode1
An Effective System for Multi-format Information ExtractionCode1
SCL-RAI: Span-based Contrastive Learning with Retrieval Augmented Inference for Unlabeled Entity Problem in NERCode1
An Effective Transition-based Model for Discontinuous NERCode1
Enhancing Entity Boundary Detection for Better Chinese Named Entity RecognitionCode1
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