Article

A Scalable Framework for Benchmarking Embedding Models for Semantic Medical Tasks

2024-08-20

Abstract excerpt

<h4>ABSTRACT</h4> Text embeddings convert textual information into numerical representations, enabling machines to perform semantic tasks like information retrieval. Despite its potential, the application of text embeddings in healthcare is underexplored in part due to a lack of benchmarking studies using biomedical data. This study provides a flexible framework for benchmarking embedding models to identify those...

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Literature Corpus work: 954f4cac-4f42-5f66-9b4f-662aee284783
DOI: 10.1101/2024.08.14.24312010

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