Zobrazeno 1 - 7
of 7
pro vyhledávání: '"John M Giorgi"'
Autor:
Jeffrey V. Wong, Özgün Babur, Benjamin M. Gyori, Emek Demir, Augustin Luna, Chris Sander, Funda Durupinar, Igor Rodchenkov, Max Franz, Dylan Fong, John A. Bachman, Christian Dallago, Gary D. Bader, John M Giorgi, Metin Can Siper
Publikováno v:
eLife, Vol 10 (2021)
eLife
eLife
Making the knowledge contained in scientific papers machine-readable and formally computable would allow researchers to take full advantage of this information by enabling integration with other knowledge sources to support data analysis and interpre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f1c8fc197cd3a51c2a92d6ac4d8d168
https://elifesciences.org/articles/68292
https://elifesciences.org/articles/68292
Autor:
Igor Rodchenkov, Max Franz, Benjamin M. Gyori, Emek Demir, John M Giorgi, Jeffrey V. Wong, Christian Dallago, Funda Durupinar, Dylan Fong, Chris Sander, John A. Bachman, Metin Can Siper, Augustin Luna, Gary D. Bader, Özgün Babur
Technological advances in computing provide major opportunities to accelerate scientific discovery. The wide availability of structured knowledge would allow us to take full advantage of these by enabling efficient human-computer interaction. Traditi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f9dbb18896e635d745a0fc2aaa03ee5
https://doi.org/10.1101/2021.03.10.382333
https://doi.org/10.1101/2021.03.10.382333
Publikováno v:
ACL/IJCNLP (1)
Sentence embeddings are an important component of many natural language processing (NLP) systems. Like word embeddings, sentence embeddings are typically learned on large text corpora and then transferred to various downstream tasks, such as clusteri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bb55f11ea25ff5cc87c7802ea103ada
https://doi.org/10.18653/v1/2021.acl-long.72
https://doi.org/10.18653/v1/2021.acl-long.72
Autor:
Jeffrey Wong, Max Franz, Metin Can Siper, Dylan Fong, Funda Durupinar, Christian Dallago, Augustin Luna, John M. Giorgi, Igor Rodchenkov, Özgün Babur, John A. Bachman, Benjamin M. Gyori, Emek Demir, Gary Bader, Chris Sander
Technological advances in computing provide major opportunities to complement human reasoning and to dramatically speed up science - but only if structured knowledge is available to enable efficient communication between humans and computers. Traditi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a5338412e4b62a300674a79958fdb80
https://doi.org/10.31219/osf.io/zep3x
https://doi.org/10.31219/osf.io/zep3x
Autor:
Chris Sander, Max Franz, Emek Demir, Metin Can Siper, Jeffrey V. Wong, Gary D. Bader, Christian Dallago, John M Giorgi
Publikováno v:
Journal of Open Source Software. 6:3756
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ca4606744e3b839a533aa838aa377ba
https://doi.org/10.21105/joss.03756
https://doi.org/10.21105/joss.03756
Autor:
Gary D. Bader, John M Giorgi
Publikováno v:
Bioinformatics
Motivation Automatic biomedical named entity recognition (BioNER) is a key task in biomedical information extraction. For some time, state-of-the-art BioNER has been dominated by machine learning methods, particularly conditional random fields (CRFs)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2591630aed6812a19092ca46c34e1a77
https://doi.org/10.1101/526244
https://doi.org/10.1101/526244
Autor:
Christophe Roux, Jessica Noël, Philippe Charron, Steve Ndikumana, Camille St‐Onge, Nicolas Corradi, Francis Martin, Denis Beaudet, Manuela Krüger, Gokalp Yildirir, Emmanuelle Morin, John M Giorgi, Eric C. H. Chen, Igor V. Grigoriev, Timea Marton, Matthieu Hainaut, Jeanne Ropars, Bernard Henrissat
Publikováno v:
New Phytologist
New Phytologist, Wiley, 2018, 220 (4), pp.1161-1171. ⟨10.1111/nph.14989⟩
New Phytologist, 2018, 220 (4), pp.1161-1171. ⟨10.1111/nph.14989⟩
New Phytologist, Wiley, 2018, 220 (4), pp.1161-1171. ⟨10.1111/nph.14989⟩
New Phytologist, 2018, 220 (4), pp.1161-1171. ⟨10.1111/nph.14989⟩
International audience; Arbuscular mycorrhizal fungi (AMF) are known to improve plant fitness through the establishment of mycorrhizal symbioses. Genetic and phenotypic variations among closely related AMF isolates can significantly affect plant grow
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b27ed196daaa87fb09dfe9c058e77812
https://hal.archives-ouvertes.fr/hal-02018426
https://hal.archives-ouvertes.fr/hal-02018426