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Filtering by: Author SUZUKI, Akira Author DIEB, Sae

SuperMat: Construction of a linked annotated dataset from superconductors-related publications

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
SuperMat: Construction of a linked annotated dataset from superconductors-related publications

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