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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 31–40 of 1729 papers

TitleStatusHype
A Label-Aware Autoregressive Framework for Cross-Domain NERCode1
A Unified Generative Framework for Various NER SubtasksCode1
Better Feature Integration for Named Entity RecognitionCode1
A Sequence-to-Set Network for Nested Named Entity RecognitionCode1
A Robust and Domain-Adaptive Approach for Low-Resource Named Entity RecognitionCode1
A Simple but Effective Approach to Improve Structured Language Model Output for Information ExtractionCode1
Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based TechniqueCode1
ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NERCode1
A FOFE-based Local Detection Approach for Named Entity Recognition and Mention DetectionCode1
AraBERT: Transformer-based Model for Arabic Language UnderstandingCode1
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