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Filtering by: Author SUZUKI, Akira Data origin informatics and data science Type of work Dataset Rights Statement Sim Creative Commons BY Attribution 4.0 International

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
Leveraging Segmentation of Physical Units through a Newly Open Source Corpus

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

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

Leveraging Segmentation of Physical Units through a Newly Open Source Corpus

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