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ROMARY, Laurent
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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) 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
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
Automatic Identification and Normalisation of Physical Measurements in Scientific Literature
Resource Type:
Presentation
Author:
TANIFUJI, Mikiko
,
ISHII, Masashi
,
ROMARY, Laurent
, and
FOPPIANO, Luca
Date Uploaded:
18/10/2019
Date Modified:
15/06/2020
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2
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machine learning
2
tdm
2
physical quantities
1
superconductors
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English
2
Publisher
Association for Computing Machinery
1
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Conference Proceeding
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open
3
Rights Statement Sim
Creative Commons BY Attribution 4.0 International
1
In Copyright
1
Data origin
informatics and data science
1
Date
2019
1
Author
FOPPIANO, Luca
3
ROMARY, Laurent
3
ISHII, Masashi
2
TANIFUJI, Mikiko
2
CASTRO, Pedro
1
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http://rightsstatements.org/vocab/InC/1.0/
1
Journal
DocEng '19: Proceedings of the ACM Symposium on Document Engineering 2019
1
