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FOPPIANO, Luca
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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:
ROMARY, Laurent
,
ESPARZA, Miren
,
TERASHIMA, Kensei
,
IWASAKI, Suguru
,
MENG, Yan
,
SUZUKI, Akira
,
CASTRO, Pedro
,
FOPPIANO, Luca
,
UZUKI, Azusa
,
TAKANO, Yoshihiko
, and
DIEB, Sae
Date Uploaded:
07/01/2021
Date Modified:
14/10/2022
Proposal for Automatic Extraction Framework of Superconductors Related Information from Scientific Literature
Description/Abstract:
The automatic collection of materials information from research papers using Natural Language Processing (NLP) is highly required for rap...
Keyword:
Machine Learning
,
Material Informatics
,
NLP
,
Superconductors
, and
TDM
Resource Type:
Conference Proceeding
Author:
FOPPIANO, Luca
,
Thaer, M. Dieb
,
SUZUKI, Akira
, and
ISHII, Masashi
Date Uploaded:
05/02/2020
Date Modified:
02/02/2022
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:
ISHII, Masashi
,
SUZUKI, Akira
,
DIEB M. Thear
,
FOPPIANO, Luca
, and
TANIFUJI, Mikiko
Date Uploaded:
25/10/2019
Date Modified:
15/06/2020
Automatic Identification and Normalisation of Physical Measurements in Scientific Literature
Resource Type:
Presentation
Author:
FOPPIANO, Luca
,
ROMARY, Laurent
,
ISHII, Masashi
, and
TANIFUJI, Mikiko
Date Uploaded:
18/10/2019
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:
DIEB M. Thear
,
SUZUKI, Akira
,
ISHII, Masashi
,
FOPPIANO, Luca
, and
TANIFUJI, Mikiko
Date Uploaded:
18/10/2019
Date Modified:
15/06/2020
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5
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1
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Visibility
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7
Rights Statement Sim
Creative Commons BY Attribution 4.0 International
2
In Copyright
1
Data origin
informatics and data science
2
Date
2019
4
Author
FOPPIANO, Luca
7
ISHII, Masashi
6
SUZUKI, Akira
5
TANIFUJI, Mikiko
4
ROMARY, Laurent
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https://creativecommons.org/licenses/by/4.0/
3
http://rightsstatements.org/vocab/InC/1.0/
1
Journal
DocEng '19: Proceedings of the ACM Symposium on Document Engineering 2019
1