Papers by Dong Nie

2 papers
Automated Generation of Accurate & Fluent Medical X-ray Reports (2021.emnlp-main)

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Challenge: Existing medical report generation efforts focus on producing human-readable reports, yet the generated text may not be well aligned to the clinical facts.
Approach: They propose to automate the generation of medical reports from chest X-ray image inputs . medical reports are the primary medium, which physicians communicate findings from scans - authors say .
Outcome: The proposed method achieves fluency and clinical accuracy on common metrics.
Boosting Textural NER with Synthetic Image and Instructive Alignment (2024.findings-acl)

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Challenge: Named entity recognition (NER) is a key task reliant on textual data.
Approach: They propose a method to transform NER into a multimodal task by using images from the internet as auxiliaries.
Outcome: The proposed method surpasses all text-only baselines and improves F1 score by 1.4% to 2.3% on prominent MNER datasets.

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