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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
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DocEng '19: Proceedings of the ACM Symposium on Document Engineering 2019
1