Papers by Bhanu Pratap Singh Rawat
Conversational Machine Comprehension: a Literature Review (2020.coling-main)
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| Challenge: | Conversational machine comprehension (CMC) is a research track in conversational AI. |
| Approach: | They propose to synthesize a generic framework for CMC models and highlight differences in recent approaches. |
| Outcome: | The proposed model will be used as a compendium for future research. |
Knowledge Injected Prompt Based Fine-tuning for Multi-label Few-shot ICD Coding (2022.findings-emnlp)
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| Challenge: | Existing methods for ICD coding are limited due to the high-dimensional space of multi-label assignment and the long-tail challenge. |
| Approach: | They propose a prompt-based fine-tuning technique with label semantics to solve this challenge. |
| Outcome: | The proposed method outperforms state-of-the-art methods on a benchmark dataset of code assignment in 14.5% of cases. |
ScAN: Suicide Attempt and Ideation Events Dataset (2022.naacl-main)
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| Challenge: | Suicidal behaviors, including suicide attempts (SA) and suicide ideations (SI), are leading risk factors for death by suicide. |
| Approach: | They first built a Suicide Attempt and Ideation Events (ScAN) dataset, a subset of the publicly available MIMIC III dataset spanning over 12k+ EHR notes with 19k+ annotated SA and SI events information. |
| Outcome: | The proposed model is based on the publicly available MIMIC III Suicide Attempt and Ideation Events Retriever (ScANER) dataset and achieves a macro-weighted F1 score of 0.83 for identifying suicidal behavioral evidences and a micro-weighting score of 0.8 and 0.60 for classification of SA and SI for the patient’s hospital-stay. |