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Semi-automatic staging area for high-quality structured data extraction from scientific literature
Description/Abstract:
We propose a semi-automatic staging area for efficiently building an accurate database of experimental physical properties of supercondu...
Keyword:
database
,
machine learning
,
materials informatics
,
superconductors
, and
tdm
Resource Type:
Article
Author:
Luca Foppiano
,
Tomoya Mato
,
Kensei Terashima
,
Pedro Ortiz Suarez
,
Taku Tou
,
Chikako Sakai
,
Wei-Sheng Wang
,
Toshiyuki Amagasa
,
Yoshihiko Takano
, and
Masashi Ishii
Journal:
Science and Technology of Advanced Materials: Methods
Date Uploaded:
11/07/2024
Date Modified:
16/07/2024
Supercon 2 Dataset
Description/Abstract:
The automatic extraction of materials and related properties from the scientific literature is gaining attention in data-driven materials...
Keyword:
tdm
,
materials science
,
superconductors
,
machine learning
, and
dataset
Resource Type:
Dataset
Data origin:
informatics and data science
Author:
Luca Foppiano
Date Uploaded:
11/10/2022
Date Modified:
10/11/2022
Automatic Extraction of Materials and Properties from Superconductors Scientific Literature
Description/Abstract:
The automatic extraction of materials and related properties from the scientific literature is gaining attention in data-driven materials...
Keyword:
tdm
,
machine learning
,
materials science
,
superconductors
, and
database
Resource Type:
Article
Author:
Foppiano Luca
,
Pedro Baptista de Castro
,
Pedro Ortiz Suarez
,
Kensei Terashima
,
Yoshihiko Takano
, and
Masashi Ishii
Date Uploaded:
11/10/2022
Date Modified:
08/11/2022
Automatic Identification and Normalisation of Physical Measurements in Scientific Literature
Description/Abstract:
We present Grobid-quantities, an open-source application for extracting and normalising measurements from scientific and patent literatur...
Keyword:
machine learning
,
physical quantities
, and
tdm
Resource Type:
Conference Proceeding
Author:
FOPPIANO, Luca
,
ROMARY, Laurent
,
ISHII, Masashi
, and
TANIFUJI, Mikiko
Journal:
DocEng '19: Proceedings of the ACM Symposium on Document Engineering 2019
Date Uploaded:
15/01/2021
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) 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
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Creative Commons BY Attribution 4.0 International
4
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informatics and data science
2
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3
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2
ISHII, Masashi
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2
Kensei Terashima
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DocEng '19: Proceedings of the ACM Symposium on Document Engineering 2019
1
Science and Technology of Advanced Materials: Methods
1