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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 681–690 of 1729 papers

TitleStatusHype
Depth-Wise Attention (DWAtt): A Layer Fusion Method for Data-Efficient Classification—0
Benchmarking Modern Named Entity Recognition Techniques for Free-text Health Record De-identification—0
An Empirical Exploration of Local Ordering Pre-training for Structured Prediction—0
A dynamic programming algorithm for span-based nested named-entity recognition in O(n^2)—0
Deploying a BERT-based Query-Title Relevance Classifier in a Production System: a View from the Trenches—0
Bench-Marking Information Extraction in Semi-Structured Historical Handwritten Records—0
DeNERT-KG: Named Entity and Relation Extraction Model Using DQN, Knowledge Graph, and BERT—0
Delving Deep into Regularity: A Simple but Effective Method for Chinese Named Entity Recognition—0
Benchmarking Biomedical Nested NER and Relation Extraction Models—0
De-identifying Australian Hospital Discharge Summaries: An End-to-End Framework using Ensemble of Deep Learning Models—0
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