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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

Showing 181190 of 1729 papers

TitleStatusHype
Zero-Shot Cross-Lingual NER Using Phonemic Representations for Low-Resource LanguagesCode0
In-Context Learning on a Budget: A Case Study in Token Classification0
Medical Spoken Named Entity Recognition0
Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity RecognitionCode1
Augmenting Biomedical Named Entity Recognition with General-domain ResourcesCode0
GLiNER multi-task: Generalist Lightweight Model for Various Information Extraction Tasks0
Improving Autoregressive Training with Dynamic Oracles0
Curating Grounded Synthetic Data with Global Perspectives for Equitable AI0
DeviceBERT: Applied Transfer Learning With Targeted Annotations and Vocabulary Enrichment to Identify Medical Device and Component Terminology in FDA Recall Summaries0
Fighting Against the Repetitive Training and Sample Dependency Problem in Few-shot Named Entity Recognition0
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