Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Mark Fishel"'
Publikováno v:
Information, Vol 10, Iss 10, p 308 (2019)
We address multimodal product attribute prediction of fashion items based on product images and titles. The product attributes, such as type, sub-type, cut or fit, are in a chain format, with previous attribute values constraining the values of the n
Externí odkaz:
https://doaj.org/article/cf4d922224c44db38f17c218cc8aa69b
Autor:
Andre Tättar, Taido Purason, Hele-Andra Kuulmets, Agnes Luhtaru, Liisa Rätsep, Maali Tars, Mārcis Pinnis, Toms Bergmanis, Mark Fishel
Publikováno v:
Baltic Journal of Modern Computing. 10
Publikováno v:
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers).
Publikováno v:
Baltic Journal of Modern Computing. 10
Publikováno v:
Baltic Journal of Modern Computing. 10
Autor:
Frédéric Blain, Nikolaos Aletras, Francisco Guzmán, Lisa Yankovskaya, Mark Fishel, Lucia Specia, Marina Fomicheva, Shuo Sun, Vishrav Chaudhary
Quality Estimation (QE) is an important component in making Machine Translation (MT) useful in real-world applications, as it is aimed to inform the user on the quality of the MT output at test time. Existing approaches require large amounts of exper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9788592bf255a1df4f919b5059a26c0
http://hdl.handle.net/10044/1/84005
http://hdl.handle.net/10044/1/84005
Autor:
Iiris Lusi, Gholamreza Anbarjafari, Egils Avots, Sergio Escalera, Jelena Gorbova, Mark Fishel
Publikováno v:
IEEE MultiMedia. 25:24-33
The authors present a novel methodology for analyzing integrated audiovisual signals and language to assess a person's personality. An evaluation of their proposed multimodal method using a job candidate screening system that predicted five personali
Publikováno v:
Prague Bulletin of Mathematical Linguistics, Vol 109, Iss 1, Pp 5-14 (2017)
We introduce an open-source implementation of a machine translation API server. The aim of this software package is to enable anyone to run their own multi-engine translation server with neural machine translation engines, supporting an open API for
Autor:
Christof Monz, Marta R. Costa-jussà, Christian Federmann, Mark Fishel, Loïc Barrault, Mathias Müller, Philipp Koehn, Yvette Graham, Ondřej Bojar, Matthias Huck, Barry Haddow, Santanu Pal, Matt Post, Marcos Zampieri, Shervin Malmasi
Publikováno v:
WMT (2)
Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)
This paper presents the results of the premier shared task organized alongside the Conference on Machine Translation (WMT) 2019. Participants were asked to build machine translation systems for any of 18 language pairs, to be evaluated on a test set
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3f9120f7bea1bc921105ebf0ccf446b
https://hdl.handle.net/11346/BIBLIO@id=-2735249752283795335
https://hdl.handle.net/11346/BIBLIO@id=-2735249752283795335
Publikováno v:
WMT (shared task)
This paper describes the University of Tartu’s submission to the unsupervised machine translation track of WMT18 news translation shared task. We build several baseline translation systems for both directions of the English-Estonian language pair u