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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 431–440 of 1729 papers

TitleStatusHype
Annotation Errors and NER: A Study with OntoNotes 5.0—0
Zero-Shot Cross-Lingual NER Using Phonemic Representations for Low-Resource LanguagesCode0
Medical Spoken Named Entity Recognition—0
In-Context Learning on a Budget: A Case Study in Token Classification—0
Augmenting Biomedical Named Entity Recognition with General-domain ResourcesCode0
GLiNER multi-task: Generalist Lightweight Model for Various Information Extraction Tasks—0
Improving Autoregressive Training with Dynamic Oracles—0
Curating Grounded Synthetic Data with Global Perspectives for Equitable AI—0
Fighting Against the Repetitive Training and Sample Dependency Problem in Few-shot Named Entity Recognition—0
DeviceBERT: Applied Transfer Learning With Targeted Annotations and Vocabulary Enrichment to Identify Medical Device and Component Terminology in FDA Recall Summaries—0
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