Papers by Santhosh Cherian

2 papers
Two-Pronged Human Evaluation of ChatGPT Self-Correction in Radiology Report Simplification (2024.findings-acl)

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Challenge: Radiology reports are highly technical documents aimed primarily at doctor-doctor communication.
Approach: They propose a new evaluation protocol that employs radiologists and laypeople to produce high-quality simplifications.
Outcome: The proposed evaluation protocol combines radiologists and laypeople to produce high-quality simplifications.
Data Augmentation for Radiology Report Simplification (2023.findings-eacl)

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Challenge: Existing approaches to improve radiology reports are limited due to the high cost of manual simplification.
Approach: They propose a data augmentation approach to generate simplifications of unlabeled radiology sentences using a pre-trained language model and paraphrasing of labeled radiologists sentences.
Outcome: The proposed model generates simplifications of unlabeled radiology sentences and paraphrases labeled radiologists sentences.

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