Published May 28, 2026
| Version 1.0.0
Software
Open
Scinobo Research Artifact Analysis (RAA) tool
Authors/Creators
-
1.
Athena Research and Innovation Center In Information Communication & Knowledge Technologies
-
2.
Institute for Language and Speech Processing
-
3.
OpenAIRE Non-Profit Civil Partnership
- 4. OPIX
Description
This tool performs RAA on scientific texts to extract mentions of research artifacts (RAs) (e.g. datasets, software) along with their metadata and then deduplicates these mentions to find the unique RAs that were referenced, (re)used or created in the text. It is based on finetuned LLMs and depends on a list of keywords/keyphrases/gazetteers to detect candidate mentions to RAs in the texts (source: default list of keywords for Computer Science and a default list of gazetteers from PapersWithCode).
For more information:
Files
adapter_config.json
Files
(21.7 MB)
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Additional details
Funding
- European Commission
- SciLake - Democratising and making sense out of heterogeneous scholarly content 101058573
- European Commission
- PathOS - Open Science Impact Pathways 101058728
- European Commission
- TIER2 - TIER2: ENHANCING TRUST, INTEGRITY AND EFFICIENCY IN RESEARCH THROUGH NEXT-LEVEL REPRODUCIBILITY IMPACT PATHWAYS 101094817
Software
- Repository URL
- https://github.com/iNoBo/scinobo-raa
- Programming language
- Python
- Development Status
- Active
References
- Petros Stavropoulos, Ioannis Lyris, Natalia Manola, Ioanna Grypari, and Haris Papageorgiou. 2023. Empowering Knowledge Discovery from Scientific Literature: A novel approach to Research Artifact Analysis. In Proceedings of the 3rd Workshop for Natural Language Processing Open Source Software (NLP-OSS 2023), pages 37–53, Singapore. Association for Computational Linguistics.