On a private dataset of 1,472 structured medical documents, lexical vector search (BM25) achieved slightly better classification accuracy than off-the-shelf semantic embeddings while embedding and searching much faster.
Summarization from medical documents: a survey,
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Comparing Lexical and Semantic Vector Search Methods When Classifying Medical Documents
On a private dataset of 1,472 structured medical documents, lexical vector search (BM25) achieved slightly better classification accuracy than off-the-shelf semantic embeddings while embedding and searching much faster.