Positional attention for named entity recognition
| 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 |
| PDF Download |
Download / View PDF |
| Get Help |
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Message: Hi FE, I need help with "Positional Attention-Based Named Entity Recognition with Low Computational Cost" in "Artificial Intelligence & Machine Learning"
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This resource helps students quickly understand the project idea, reference paper direction, and next step for implementation, synopsis, report writing, or academic documentation support.
Related reading: BERT Fine-Tuning for Domain-Specific Text Classification
