A rule-free workflow for the automated generation of databases from scientific literature Article Swipe
Luke P. J. Gilligan
,
Matteo Cobelli
,
Valentin Taufour
,
Stefano Sanvito
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1038/s41524-023-01171-9
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1038/s41524-023-01171-9
In recent times, transformer networks have achieved state-of-the-art performance in a wide range of natural language processing tasks. Here we present a workflow based on the fine-tuning of BERT models for different downstream tasks, which results in the automated extraction of structured information from unstructured natural language in scientific literature. Contrary to existing methods for the automated extraction of structured compound-property relations from similar sources, our workflow does not rely on the definition of intricate grammar rules. Hence, it can be adapted to a new task without requiring extensive implementation efforts and knowledge. We test our data-extraction workflow by automatically generating a database for Curie temperatures and one for band gaps. These are then compared with manually curated datasets and with those obtained with a state-of-the-art rule-based method. Furthermore, in order to showcase the practical utility of the automatically extracted data in a material-design workflow, we employ them to construct machine-learning models to predict Curie temperatures and band gaps. In general, we find that, although more noisy, automatically extracted datasets can grow fast in volume and that such volume partially compensates for the inaccuracy in downstream tasks.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41524-023-01171-9
- https://www.nature.com/articles/s41524-023-01171-9.pdf
- OA Status
- gold
- Cited By
- 26
- References
- 58
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4389686182
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4389686182Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1038/s41524-023-01171-9Digital Object Identifier
- Title
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A rule-free workflow for the automated generation of databases from scientific literatureWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-12-13Full publication date if available
- Authors
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Luke P. J. Gilligan, Matteo Cobelli, Valentin Taufour, Stefano SanvitoList of authors in order
- Landing page
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https://doi.org/10.1038/s41524-023-01171-9Publisher landing page
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https://www.nature.com/articles/s41524-023-01171-9.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://www.nature.com/articles/s41524-023-01171-9.pdfDirect OA link when available
- Concepts
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Workflow, Computer science, Information extraction, Natural language processing, Artificial intelligence, Data mining, Transformer, Database, Volume (thermodynamics), Information retrieval, Machine learning, Physics, Voltage, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
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26Total citation count in OpenAlex
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2025: 17, 2024: 9Per-year citation counts (last 5 years)
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58Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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