Luca Foppiano
National Institute for Materials Science(JP)
Publications by Year
Research Areas
Machine Learning in Materials Science, Topic Modeling, Semantic Web and Ontologies, Natural Language Processing Techniques, Data Quality and Management
Most-Cited Works
- → Automatic extraction of materials and properties from superconductors scientific literature(2022)22 cited
- → SuperMat: construction of a linked annotated dataset from superconductors-related publications(2021)21 cited
- → Automatic Identification and Normalisation of Physical Measurements in Scientific Literature(2019)20 cited
- → Mining experimental data from materials science literature with large language models: an evaluation study(2024)18 cited
- Automatic Extraction of TEI Structures in Digitized Lexical Resources using Conditional Random Fields(2017)
- Proposal for Automatic Extraction Framework of Superconductors Related Information from Scientific Literature(2019)
- → Semi-automatic staging area for high-quality structured data extraction from scientific literature(2023)4 cited
- → Leveraging Concepts in Open Access Publications(2020)2 cited
- GROBID for Humanities When engineering meets History(2017)
- → Entity-fishing: A DARIAH Entity Recognition and Disambiguation Service(2020)1 cited