Index Catalog // MDR

Description/Abstract:: A growing number of papers are published in the area of superconducting materials science. However, novel text and data mining (TDM) pro...
Keyword:: annotation, annotation guidelines, dataset, superconductors, and tdm
Resource Type:: Article
Author:: FOPPIANO, Luca, DIEB, Sae, SUZUKI, Akira, BAPTISTA DE CASTRO, Pedro, IWASAKI, Suguru, UZUKI, Azusa, ESPARZA ECHEVARRIA, Miren Garbine, MENG, Yan, TERASHIMA, Kensei, TAKANO, Yoshihiko, and ISHII, Masashi
Date Uploaded:: 07/01/2021
Date Modified:: 01/07/2021

Description/Abstract:: A growing number of papers are published in the area of superconducting materials science. However, novel text and data mining (TDM) proc...
Keyword:: machine learning, superconductors, and tdm
Resource Type:: Dataset
Data origin:: informatics and data science
Author:: DIEB, Sae, CASTRO, Pedro, ROMARY, Laurent, TAKANO, Yoshihiko, MENG, Yan, UZUKI, Azusa, ESPARZA, Miren, FOPPIANO, Luca, TERASHIMA, Kensei, SUZUKI, Akira, and IWASAKI, Suguru
Date Uploaded:: 07/01/2021
Date Modified:: 14/10/2022

Description/Abstract:: The automatic collection of materials information from research papers using Natural Language Processing (NLP) is highly required for rap...
Keyword:: Machine Learning, Material Informatics, NLP, Superconductors, and TDM
Resource Type:: Conference Proceeding
Author:: FOPPIANO, Luca, Thaer, M. Dieb, SUZUKI, Akira, and ISHII, Masashi
Date Uploaded:: 05/02/2020
Date Modified:: 02/02/2022

Description/Abstract:: The identification of physical measurements is a recurrent need in materials informatics (MI). For example, the extraction of superconduc...
Resource Type:: Dataset
Data origin:: informatics and data science
Author:: FOPPIANO, Luca, TANIFUJI, Mikiko, ISHII, Masashi, DIEB M. Thear, and SUZUKI, Akira
Date Uploaded:: 25/10/2019
Date Modified:: 15/06/2020

Description/Abstract:: The identification of physical measurements is a recurrent task in material informatics (MI). Quantities and units are contained in unstr...
Keyword:: measurements, physical quantities, quantities, and segmentation
Resource Type:: Presentation
Author:: SUZUKI, Akira, TANIFUJI, Mikiko, DIEB M. Thear, ISHII, Masashi, and FOPPIANO, Luca
Date Uploaded:: 18/10/2019
Date Modified:: 15/06/2020

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