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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 341–350 of 1729 papers

TitleStatusHype
The Role of Natural Language Processing Tasks in Automatic Literary Character Network ConstructionCode0
LLMs-in-the-Loop Part 2: Expert Small AI Models for Anonymization and De-identification of PHI Across Multiple Languages—0
CRENER: A Character Relation Enhanced Chinese NER Model—0
OpenNER 1.0: Standardized Open-Access Named Entity Recognition Datasets in 50+ Languages—0
Training LayoutLM from Scratch for Efficient Named-Entity Recognition in the Insurance Domain—0
AI-assisted Knowledge Discovery in Biomedical Literature to Support Decision-making in Precision Oncology—0
Mitigating Out-of-Entity Errors in Named Entity Recognition: A Sentence-Level Strategy—0
Shifting NER into High Gear: The Auto-AdvER Approach—0
The Use of Artificial Intelligence in Military Intelligence: An Experimental Investigation of Added Value in the Analysis Process—0
BANER: Boundary-Aware LLMs for Few-Shot Named Entity RecognitionCode0
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