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pro vyhledávání: '"Haris Jabbar"'
In this work, we propose a flow-adapter architecture for unsupervised NMT. It leverages normalizing flows to explicitly model the distributions of sentence-level latent representations, which are subsequently used in conjunction with the attention me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b51a8e09b234864780d1b591bfd918cc
http://arxiv.org/abs/2204.12225
http://arxiv.org/abs/2204.12225
Publikováno v:
Findings of the Association for Computational Linguistics: NAACL 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1f2453423de5daefa6d31b172565f20
https://doi.org/10.18653/v1/2022.findings-naacl.69
https://doi.org/10.18653/v1/2022.findings-naacl.69
Autor:
Haris Jabbar Khan, M. Khyzer bin Dost
Publikováno v:
Oman Chapter of Arabian Journal of Business and Management Review. 1:95-104
Employee commitment has always been a hot debate for increasing the organizations’ productivity and hence profitability. Employee commitment may be enhanced by enriching the jobs themselves. It has been observed that employee commitment and job enr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::997125b2579cb9f17fc774ce955482dd
https://doi.org/10.12816/0002192
https://doi.org/10.12816/0002192