Výsledky vyhledávání - "Arslan Shoukat"

Improving Document-Level Neural Machine Translation with Domain Adaptation

Autor: Sadaf Abdul Rauf, Arslan Shoukat, Noor-e Hira, Sami Ul Haq

Publikováno v: NGT@ACL

Recent studies have shown that translation quality of NMT systems can be improved by providing document-level contextual information. In general sentence-based NMT models are extended to capture contextual information from large-scale document-level

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a8f0b73cf968d7cf057c74e1f116b6e8
https://doi.org/10.18653/v1/2020.ngt-1.27

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CEA: Clinical Event Annotator mHealth Application for Real-time Patient Monitoring

Autor: Amna Basharat, Arslan Shoukat, Shermeen Nizami, Randy Giffen, James R. Green, Uzair Hameed, Syed Ali Raza, Amente Bekele

Publikováno v: EMBC

This research develops a novel dynamic mobile health (mHealth) application (app), called the Clinical Event Annotator (CEA). The CEA comprises of a native Android tablet app and an administrative web app. The native app is used at the patient bedside

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2acd30b3443afb9f697bb983b213089
https://pubmed.ncbi.nlm.nih.gov/30441012

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