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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 621–630 of 1729 papers

TitleStatusHype
A Data-driven Approach to Named Entity Recognition for Early Modern French—0
Adaptive Threshold Selective Self-Attention for Chinese NER—0
Simple Yet Powerful: An Overlooked Architecture for Nested Named Entity RecognitionCode0
Tafsir Dataset: A Novel Multi-Task Benchmark for Named Entity Recognition and Topic Modeling in Classical Arabic Literature—0
Large Sequence Representation Learning via Multi-Stage Latent Transformers—0
PCBERT: Parent and Child BERT for Chinese Few-shot NERCode0
Read Extensively, Focus Smartly: A Cross-document Semantic Enhancement Method for Visual Documents NER—0
Nested Named Entity Recognition as Corpus Aware Holistic Structure Parsing—0
MRC-based Medical NER with Multi-task Learning and Multi-strategies—0
Depth-Wise Attention (DWAtt): A Layer Fusion Method for Data-Efficient Classification—0
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