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Positional Attention-Based Named Entity Recognition with Low Computational Cost

This M.Tech project topic focuses on Positional Attention-Based Named Entity Recognition with Low Computational Cost. It belongs to the Natural Language Processing area within Artificial Intelligence & Machine Learning. The topic can…

Abstract This M.Tech project topic focuses on Positional Attention-Based Named Entity Recognition with Low Computational Cost. It belongs to the Natural Language Processing area within Artificial Intelligence & Machine Learning. The topic can be used for project selection, synopsis preparation, literature review, implementation planning, and dissertation documentation. Students can begin with the listed reference paper, understand the core research direction, and then customize the work using a suitable dataset, tools, evaluation metrics, and academic requirements.
Reference Paper Positional Attention for Efficient BERT-Based Named Entity Recognition
Domain Artificial Intelligence & Machine Learning
Sub-Domain Natural Language Processing
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