Papers by Shelly Vishwakarma
Uncertainty Modelling in Under-Represented Languages with Bayesian Deep Gaussian Processes (2025.coling-main)
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| Challenge: | Existing methods for NLP modeling underrepresented languages are limited due to lack of training data and language complexities. |
| Approach: | They propose a new method that integrates prior knowledge and leverages kernel functions to quantify uncertainty in under-represented languages. |
| Outcome: | The proposed method improves prediction accuracy and measurement of uncertainty in under-represented languages. |