NexusGraph: NLP Innovation for Scientific Methodology Replication
NexusGraph represents an innovative solution to the reproducibility crisis in scientific research, particularly within the biomedical field, through the utilization of advanced Natural Language Processing (NLP) technologies. NexusGraph addresses the challenges of modern research complexities and inadequate documentation by creating a comprehensive, accessible inventory of reagents, equipment, and materials. It employs a five-component pipeline to extract, analyze, and synthesize critical information from scientific papers, including metadata, materials, suppliers, and step-by-step instructional guidance for experiment replication.
Authors
- Norawit Kijpaisalratana (ORCID: https://orcid.org/0009-0000-1710-5552)
- Jeffrey Yuan (ORCID: https://orcid.org/0000-0003-3855-1994)
- Abdelrahman Mohamed
- Abdul Badih El Ariss (ORCID: https://orcid.org/0000-0003-0269-3130)
- Louise Corscadden
Publication Details
- Journal
- ConductScience Proceedings
- Published
- 2024-10-02
- DOI
- https://doi.org/10.55157/conductscience-proceedings.v1i1.09
- Primary Topic
- Semantic Web and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00