LLM-IE: a python package for biomedical generative information extraction with large language models

The <i>LLM-IE</i> provides essential building blocks for developing robust information extraction pipelines. Future work will aim to expand its features and further optimize computational efficiency.

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Publication Details

Journal
JAMIA Open
Published
2025-03-06
DOI
https://doi.org/10.1093/jamiaopen/ooaf012
Citations
10
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
24.81

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article

LLM-IE: a python package for biomedical generative information extraction with large language models

Enshuo Hsu, Kirk Roberts
10 citations
JAMIA Open
Topic Modeling
24.81
article

LLM-IE: a python package for biomedical generative information extraction with large language models

Enshuo Hsu, Kirk Roberts
article en
10 citations

Abstract

The <i>LLM-IE</i> provides essential building blocks for developing robust information extraction pipelines. Future work will aim to expand its features and further optimize computational efficiency.

JAMIA OpenVol. 8(2)
The University of Texas MD Anderson Cancer Center (US), The University of Texas Health Science Center at Houston (US)
U.S. National Library of Medicine
Openalex Percentile: Top 1%
Topic Modeling
24.81
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