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FOPPIANO, Luca
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SUZUKI, Akira
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https://creativecommons.org/licenses/by/4.0/
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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
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
Leveraging Segmentation of Physical Units through a Newly Open Source Corpus
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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FOPPIANO, Luca
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