Papers by Sanmitra Bhattacharya
Learning from Litigation: Graphs for Retrieval and Reasoning in eDiscovery (2025.acl-industry)
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| Challenge: | Electronic Discovery (eDiscovery) requires identifying relevant documents from vast collections for legal production requests. |
| Approach: | They propose a system that integrates knowledge graphs for enhanced document ranking and classification, augmented by LLM-driven reasoning. |
| Outcome: | The proposed system outperforms baselines in F1-score, precision, and recall across balanced and imbalanced datasets. |
MedCodER: A Generative AI Assistant for Medical Coding (2025.naacl-industry)
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Krishanu Das Baksi, Elijah Soba, John J Higgins, Ravi Saini, Jaden Wood, Jane Cook, Jack I Scott, Nirmala Pudota, Tim Weninger, Edward Bowen, Sanmitra Bhattacharya
| Challenge: | Medical coding is time-consuming and error-prone due to large label space, lengthy text inputs, and the absence of supporting evidence annotations. |
| Approach: | They propose a Generative AI framework for automatic medical coding that leverages extraction, retrieval, and re-ranking techniques as core components. |
| Outcome: | The proposed framework outperforms existing methods on the International Classification of Diseases (ICD) code prediction scale. |