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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 991–1000 of 1729 papers

TitleStatusHype
TEBNER: Domain Specific Named Entity Recognition with Type Expanded Boundary-aware Network—0
CroAno : A Crowd Annotation Platform for Improving Label Consistency of Chinese NER Dataset—0
ChemNER: Fine-Grained Chemistry Named Entity Recognition with Ontology-Guided Distant SupervisionCode0
Switch Point biased Self-Training: Re-purposing Pretrained Models for Code-SwitchingCode0
Few-Shot Named Entity Recognition: An Empirical Baseline Study—0
Fine-grained Entity Typing without Knowledge BaseCode0
PDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition—0
Analysis of Zero-Shot Crosslingual Learning between English and Korean for Named Entity RecognitionCode0
Improved Named Entity Recognition for Noisy Call Center Transcripts—0
MAD-G: Multilingual Adapter Generation for Efficient Cross-Lingual Transfer—0
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