Project - | Knowledge Graph based Question Answeing for Numerical Queries |
Objective | The work would be around exploring the following:
explore state-of-the-art NLP models such as BERT to fine-tune to infuse numeric semantics and use it to learn KGEs.
Define novel scoring function to enhance predictions for Numerical Quantities which is not been explored in the literature.
Hands-on experiments to explore limitations of current Knowledge Graph based QA methods and benchmark them. |
Outcomes | The project will result in a good conference paper |
Apply by Date | 04/12/2022 |
Applied Teams | 0 / 10 |
Duration | 6 months |
College | | 1. BITS (Pilani) | 2. IIIT Delhi | | 3. IIIT Hyderabad | 4. IIT Bombay | | 5. IIT Delhi | 6. IIT Kanpur | | 7. IIT Kharagpur |
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Tools-Technologies | Python |
Mentor | Prerna Agarwal |
Platform | 1 ) IBM Bluemix www.bluemix.com
2 ) Watson Data Platform
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