Back to search

Article

Development of a Human Evaluation Framework and Correlation with Automated Metrics for Natural Language Generation of Medical Diagnoses

2024-03-21

Abstract excerpt

In the evolving landscape of clinical Natural Language Generation (NLG), assessing abstractive text quality remains challenging, as existing methods often overlook generative task complexities. This work aimed to examine the current state of automated evaluation metrics in NLG in healthcare. To have a robust and well-validated baseline with which to examine the alignment of these metrics, we created a comprehensiv...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
6b4f3b98-0182-5f5e-b97f-641c854081b4
DOI
10.1101/2024.03.20.24304620
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Development of a Human Evaluation Framework and Correlation with Automated Metrics for Natural Language Generation of Medical DiagnosesDOI 10.1101/2024.03.20.24304620
Select a neighboring publication to make it the new centre.