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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 31–40 of 1729 papers

TitleStatusHype
myNER: Contextualized Burmese Named Entity Recognition with Bidirectional LSTM and fastText Embeddings via Joint Training with POS TaggingCode0
Unmasking the Reality of PII Masking Models: Performance Gaps and the Call for Accountability—0
Transformer-Based Named Entity Recognition for Automated Server ProvisioningCode0
Scraping the Shadows: Deep Learning Breakthroughs in Dark Web Intelligence—0
Multimodal LLMs for OCR, OCR Post-Correction, and Named Entity Recognition in Historical DocumentsCode1
GLiNER-BioMed: A Suite of Efficient Models for Open Biomedical Named Entity RecognitionCode1
Student-Powered Digital Scholarship CoLab Project in the HKUST Library: Develop a Chinese Named-Entity Recognition (NER) Tool within One Semester from the Ground UpCode0
Opioid Named Entity Recognition (ONER-2025) from Reddit—0
TRIDIS: A Comprehensive Medieval and Early Modern Corpus for HTR and NER—0
A Comparative Analysis of Word Segmentation, Part-of-Speech Tagging, and Named Entity Recognition for Historical Chinese Sources, 1900-1950—0
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