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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 1241–1250 of 1729 papers

TitleStatusHype
KoGNER: A Novel Framework for Knowledge Graph Distillation on Biomedical Named Entity Recognition—0
Korean Bio-Medical Corpus (KBMC) for Medical Named Entity Recognition—0
KPI-BERT: A Joint Named Entity Recognition and Relation Extraction Model for Financial Reports—0
Kunji : A Resource Management System for Higher Productivity in Computer Aided Translation Tools—0
L3Cube-MahaCorpus and MahaBERT: Marathi Monolingual Corpus, Marathi BERT Language Models, and Resources—0
L3Cube-MahaNER: A Marathi Named Entity Recognition Dataset and BERT models—0
L3Cube-MahaSocialNER: A Social Media based Marathi NER Dataset and BERT models—0
L3i at SemEval-2022 Task 11: Straightforward Additional Context for Multilingual Named Entity Recognition—0
Label Alignment and Reassignment with Generalist Large Language Model for Enhanced Cross-Domain Named Entity Recognition—0
Label-aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition—0
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