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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 231–240 of 1729 papers

TitleStatusHype
Quantifying AI Vulnerabilities: A Synthesis of Complexity, Dynamical Systems, and Game Theory—0
How much reliable is ChatGPT's prediction on Information Extraction under Input Perturbations?—0
BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph FilteringCode0
Intent Detection and Entity Extraction from BioMedical LiteratureCode0
Multi-BERT: Leveraging Adapters and Prompt Tuning for Low-Resource Multi-Domain Adaptation—0
SCANNER: Knowledge-Enhanced Approach for Robust Multi-modal Named Entity Recognition of Unseen Entities—0
Utilizing AI and Social Media Analytics to Discover Adverse Side Effects of GLP-1 Receptor Agonists—0
Augmenting NER Datasets with LLMs: Towards Automated and Refined Annotation—0
On-the-fly Definition Augmentation of LLMs for Biomedical NERCode1
Cross-Lingual Transfer Robustness to Lower-Resource Languages on Adversarial DatasetsCode0
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