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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 1021–1030 of 1729 papers

TitleStatusHype
A Sequence-to-Set Network for Nested Named Entity RecognitionCode1
Rethinking Boundaries: End-To-End Recognition of Discontinuous Mentions with Pointer NetworksCode0
Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network—0
Analysing The Impact Of Linguistic Features On Cross-Lingual TransferCode0
Fine-grained Named Entity Annotation for Finnish—0
Knowledge Distillation for Swedish NER models: A Search for Performance and Efficiency—0
An analysis of full-size Russian complexly NER labelled corpus of Internet user reviews on the drugs based on deep learning and language neural nets—0
Multi-Task Learning of Query Intent and Named Entities using Transfer Learning—0
T2NER: Transformers based Transfer Learning Framework for Named Entity RecognitionCode1
Optimizing small BERTs trained for German NERCode0
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