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Luca Foppiano
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Automatic extraction of TEI structures in digitized lexical resources using conditional random fields
M Khemakhem, L Foppiano, L Romary
electronic lexicography, eLex 2017, 2017
442017
Automatic identification and normalisation of physical measurements in scientific literature
L Foppiano, L Romary, M Ishii, M Tanifuji
Proceedings of the ACM Symposium on Document Engineering 2019, 1-4, 2019
242019
SuperMat: construction of a linked annotated dataset from superconductors-related publications
L Foppiano, S Dieb, A Suzuki, P Baptista de Castro, S Iwasaki, A Uzuki, ...
Science and Technology of Advanced Materials: Methods 1 (1), 34-44, 2021
152021
Proposal for automatic extraction framework of superconductors related information from scientific literature
L Foppiano, TM Dieb, A Suzuki, M Ishii
電子情報通信学会サービスコンピューティング研究会 2019 年度第一回研究会, 第 43 回 …, 2019
132019
Automatic extraction of materials and properties from superconductors scientific literature
L Foppiano, PB Castro, P Ortiz Suarez, K Terashima, Y Takano, M Ishii
Science and Technology of Advanced Materials: Methods 3 (1), 2153633, 2023
102023
entity-fishing: a DARIAH entity recognition and disambiguation service
L Foppiano, L Romary
Journal of the Japanese Association for Digital Humanities 5 (1), 22-60, 2020
92020
GROBID for Humanities When engineering meets History
C Riondet, L Foppiano
Text as a Resource. Text Mining in Historical Science, 2017
32017
Mining experimental data from materials science literature with large language models: an evaluation study
L Foppiano, G Lambard, T Amagasa, M Ishii
Science and Technology of Advanced Materials: Methods, 2356506, 2024
2*2024
Leveraging Concepts in Open Access Publications
A Bertino, L Foppiano, L Romary, P Mounier
Journal of Data Mining & Digital Humanities 2019, 2020
22020
Superconductor research papers clustering using weighted annotated information
S Dieb, L Foppiano, K Terashima, PB de CASTRO, Y Takano, M Ishii
人工知能学会全国大会論文集 第 36 回 (2022), 1S5IS2a03-1S5IS2a03, 2022
12022
Leveraging segmentation of physical units through a newly open source corpus
L Foppiano, A Suzuki, TM Dieb, M Ishii, M Tanifuji
JSAP Annual Meetings Extended Abstracts The 80th JSAP Autumn Meeting 2019 …, 2019
12019
Semi-automatic staging area for high-quality structured data extraction from scientific literature
L Foppiano, T Mato, K Terashima, P Ortiz Suarez, T Tou, C Sakai, ...
Science and Technology of Advanced Materials: Methods 3 (1), 2286219, 2023
2023
Creating a Visual Topic Map for Battery Researchers Using a Large Global Open Dataset
S Dieb, L Foppiano, K Sodeyama, M Tanifuji
Electrochemical Society Meeting Abstracts 244, 3321-3321, 2023
2023
Automated Extraction and Curation of Materials Information from Scientific Literature
L Foppiano
University of Tsukuba, 2023
2023
Supercon 2 Dataset
L Foppiano
(No Title), 2022
2022
Machine readable extraction of chemically modified materials name
L Foppiano, S Dieb, PB de Castro, Y Meng, K Terashima, Y Takano, ...
JSAP Annual Meetings Extended Abstracts The 68th JSAP Spring Meeting 2021 …, 2021
2021
SuperMat: Construction of a linked annotated dataset from superconductors-related publications
M Garbine Esparza Echevarria, L Foppiano, S Dieb, A Suzuki, ...
arXiv e-prints, arXiv: 2101.02455, 2021
2021
Toward full automatic identification of superconducting materials and their properties in original papers: ambitious scope and current status
L Foppiano, S Dieb, A Suzuki, PB de Castro, Y Meng, K Terashima, ...
JSAP Annual Meetings Extended Abstracts The 81st JSAP Autumn Meeting 2020 …, 2020
2020
Supercuration: A machine-assisted data curation tool for rapid database construction for materials informatics
L Foppiano, M Ishii
JSAP Annual Meetings Extended Abstracts The 81st JSAP Autumn Meeting 2020 …, 2020
2020
Automatic construction of an accessible linked dataset from scientific literature for superconducting materials discovery
L Foppiano, S Dieb, A Suzuki, PB de Castro, S Iwasaki, Y Meng, ...
FAIR-DI: Conference on a FAIR Data Infrastructure for Materials Genomics, 2020
2020
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