View a PDF of the paper titled Toward Reliable Ad-hoc Scientific Information Extraction: A Case Study on Two Materials Datasets, by Satanu Ghosh and 5 other authors
Abstract:We explore the ability of GPT-4 to perform ad-hoc schema based information extraction from scientific literature. We assess specifically whether it can, with a basic prompting approach, replicate two existing material science datasets, given the manuscripts from which they were originally manually extracted. We employ materials scientists to perform a detailed manual error analysis to assess where the model struggles to faithfully extract the desired information, and draw on their insights to suggest research directions to address this broadly important task.
Submission history
From: Satanu Ghosh [view email]
[v1]
Sat, 8 Jun 2024 04:24:16 UTC (3,076 KB)
[v2]
Wed, 11 Dec 2024 19:28:47 UTC (3,077 KB)
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