Multilingual Named Entity Recognition Systems

Maria Santos; Ahmed Hassan; Jan Kowalski; Anna Lindqvist

doi:10.2805/ojsdemo.152

Authors

Maria Santos University of São Paulo, Brazil 0000-11520-23040-34560
Ahmed Hassan Cairo University, Egypt 0000-11521-23042-34563
Jan Kowalski Warsaw University of Technology, Poland 0000-11522-23044-34566
Anna Lindqvist KTH Royal Institute of Technology, Sweden 0000-11523-23046-34569

10.2805/ojsdemo.152

Abstract

This research explores advanced techniques for this research area. We introduce a hybrid model combining advanced algorithms with modern techniques to improve accuracy. Our experiments on diverse datasets demonstrate superior performance compared to existing baseline methods. The proposed framework achieves 42% accuracy on standard benchmark datasets.

Keywords:

natural language processing text mining sentiment analysis NLP transformers

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Multilingual Named Entity Recognition Systems

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