Guillaume Cabanac
Associate Professor of Computer Science. Information Retrieval • Scientometrics — Currently studying #pirateLibraries #bibliogifts irit.fr/publis/IRIS/20…
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Constructing and evaluating automated literature review systems
Automated literature reviews have the potential to accelerate knowledge synthesis and provide new insights. However, a lack of labeled ground-truth data has made it difficult to develop and evaluate these methods. We propose a framework that uses...
L’organisation spatiale de la recherche française à travers les publications savantes : régularité des tendances de long terme et désordre des politiques publiques (1999-2017)
Dans les processus sociaux, les tendances de long terme peuvent être infléchies ou perturbées par différents facteurs, parmi lesquels figurent les politiques publiques. Lorsque les politiques publiques se fondent sur une représentation erronée des...
As It Used To Be - Vostfr
AS IT USED TO BE (2013) Réalisé par Clément Gonzalez. Produit par le Collectif 109. 81 Sélections / 37 Prix. Synopsis: Dans un…
A ★★★ review of The Devil's Rejects (2005)
1. Cinematography and colour grading was particularly interesting. Loved the blueish, green feel, and the fast pace editing that was actually motivated 2. Interesting array of characters, and it was sort of told from the family’s POV - or more than...
Redirecting
Guillaume Cabanac
Reading a 1983 paper on database modelling, I stumbled upon the profile of @huberttardieu, designer of the ‘MIISFIIT’ database management system #badass 😈 doi.org/10.1016/0378-7… pic.twitter.com/iyp6Yy6VUQ
6d
What large-scale publication and citation data tell us about international research collaboration in Europe: changing national patterns in global contexts
(2020). What large-scale publication and citation data tell us about international research collaboration in Europe: changing national patterns in global contexts. Studies in Higher Education. Ahead of Print.
Measuring the predictability of life outcomes with a scientific mass collaboration
Hundreds of researchers attempted to predict six life outcomes, such as a child’s grade point average and whether a family would be evicted from their home. These researchers used machine-learning methods optimized for prediction, and they drew on a...
Special Collection: Fragile Families Challenge: Socius: SAGE Journals
View articles in this Published Special Issue of Socius
An overview of the history of Science of Science in China based on the use of bibliographic and citation data: a new method of analysis based on clustering with feature maximization and contrast graphs
In the first part of this paper, we shall discuss the historical context of Science of Science both in China and at world level. In the second part, we use the unsupervised combination of GNG clustering with feature maximization metrics and...
Flagging incorrect nucleotide sequence reagents in biomedical papers: To what extent does the leading publication format impede automatic error detection?
In an idealised vision of science the scientific literature is error-free. Errors reported during peer review are supposed to be corrected prior to publication, as further research establishes new knowledge based on the body of literature. It...
Guillaume Cabanac
“Flagging incorrect nucleotide sequence reagents in biomedical papers: To what extent does the leading publication format impede automatic error detection?” just out in #Scientometrics w/ C Labbé, RA West, T Gautier, B Favier, and @JAByrneSci. A 🇫🇷🇦🇺collab doi.org/10.1007/s11192… pic.twitter.com/WREplY8oV8
13d
COVID-19: Collaboration is the engine of global science – especially for developing countries
The coronavirus pandemic has shown how vital collaboration is in making the benefits of research available to all – and open-source knowledge-sharing is key to its future.
Scientists are drowning in COVID-19 papers. Can new tools keep them afloat?
The hunt is on for better ways to collect and search pandemic studies
Cited text span identification for scientific summarisation using pre-trained encoders
We present our approach for the identification of cited text spans in scientific literature, using pre-trained encoders (BERT) in combination with different neural networks. We further experiment to assess the impact of using these cited text spans...