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Dataset Persistent ID
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doi:10.26165/JUELICH-DATA/MZSJBN |
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Publication Date
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2026-01-28 |
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Title
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quinex
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Alternative URL
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https://github.com/FZJ-IEK3-VSA/quinex
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Author
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Göpfert, Jan (Forschungszentrum Jülich GmbH, Institute of Climate and Energy Systems, Jülich Systems Analysis; RWTH Aachen University, Faculty of Mechanical Engineering) - ORCID: 0000-0003-4722-4012
Kuckertz, Patrick (Forschungszentrum Jülich GmbH, Institute of Climate and Energy Systems, Jülich Systems Analysis) 0000-0002-2314-7107
Körner, Celine (Forschungszentrum Jülich GmbH, Institute of Climate and Energy Systems, Jülich Systems Analysis)
Weinand, Jann M. (Forschungszentrum Jülich GmbH, Institute of Climate and Energy Systems, Jülich Systems Analysis) 0000-0003-2948-876X
Pflugradt, Noah (Forschungszentrum Jülich GmbH, Institute of Climate and Energy Systems, Jülich Systems Analysis)
Linßen, Jochen (Forschungszentrum Jülich GmbH, Institute of Climate and Energy Systems, Jülich Systems Analysis)
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Contact
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Use email button above to contact.
Göpfert, Jan (Forschungszentrum Jülich GmbH, Institute of Climate and Energy Systems, Jülich Systems Analysis, 52425 Jülich, Germany)
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Description
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quinex (quantitative information extraction) is a Python library for extracting and analyzing quantitative information from text. It is designed to extract quantities, entities, properties and other measurement context from text. Quinex is domain-agnostic and can power a wide range of applications, such as screening of scientific literature or quantitative search.
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Subject
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Computer and Information Science; Engineering
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Keyword
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NLP
information extraction
quantitative information extraction
measurement extraction
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Related Publication
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Göpfert, J., Kuckertz, P., Müller, G., Lütz, L., Körner., C., Khuat, H., Stolten, D., and Weinand, J.M. "Quinex: Quantitative Information Extraction from Text using Open and Lightweight LLMs"
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Depositor
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Göpfert, Jan
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Deposit Date
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2026-01-27
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