Zobrazeno 1 - 10
of 1 612
pro vyhledávání: '"Gete A"'
Autor:
Gete, Harritxu, Etchegoyhen, Thierry
Neural Machine Translation models tend to perpetuate gender bias present in their training data distribution. Context-aware models have been previously suggested as a means to mitigate this type of bias. In this work, we examine this claim by analysi
Externí odkaz:
http://arxiv.org/abs/2406.12364
Autor:
Gete, Harritxu, Etchegoyhen, Thierry
Standard context-aware neural machine translation (NMT) typically relies on parallel document-level data, exploiting both source and target contexts. Concatenation-based approaches in particular, still a strong baseline for document-level NMT, prepen
Externí odkaz:
http://arxiv.org/abs/2402.06342
The Split and Rephrase (SPRP) task, which consists in splitting complex sentences into a sequence of shorter grammatical sentences, while preserving the original meaning, can facilitate the processing of complex texts for humans and machines alike. I
Externí odkaz:
http://arxiv.org/abs/2312.11075
Publikováno v:
BMC Health Services Research, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background A challenge to pre-hospital emergency care is any barrier or obstacle that impedes quality pre-hospital care or impacts community pre-hospital utilization. The Addis Ababa Fire and Disaster Risk Management Commission (AAFDRMC) pro
Externí odkaz:
https://doaj.org/article/c6be62841a874ae19cb776eced55d682
Autor:
Beza Shewangizaw, Kenzemed Kassie, Shawl Assefa, Getachew Lemma, Yalemegena Gete, Demisew Getu, Lisanu Getanh, Getanh Shegaw, Gebrehana Manaze
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Tomato yield can be increased by the application of optimum water and fertilizer. A field experiment was conducted in Efratana Gidim district, North Shewa, Amhara, Ethiopia, during 2019 and 2020. The objective was to determine the nitrogen (
Externí odkaz:
https://doaj.org/article/d0a391b760a74591b119478ef768c6dd
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
IntroductionVisceral Leishmaniasis, also known as kala-azar, is a potentially fatal, neglected tropical disease caused by the protozoan parasite Leishmania and transmitted through infected sandflies. It is one of the major global public health proble
Externí odkaz:
https://doaj.org/article/ae2db533bf324bfbb129efef00fa440f
Autor:
Awoke Keleb, Ayechew Ademas, Masresha Abebe, Gete Berihun, Belay Desye, Anmut Endalkachew Bezie
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
BackgroundPesticide exposure is a major public health issue among farmers affecting make it their health, economic stability, and agricultural productivity. This study aimed to investigate the magnitude and determinants of farmers’ knowledge of hea
Externí odkaz:
https://doaj.org/article/464e0b1052a6443db3162dc3d6d890a0
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
BackgroundAcute exacerbation of chronic obstructive pulmonary disease (COPD) poses a significant public health challenge globally, resulting in considerable health and economic burden. To date, there has been insufficient research in Ethiopia regardi
Externí odkaz:
https://doaj.org/article/e23b882a7e344dec908d44a02a6d9085
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
IntroductionAir pollution is a significant global public health concern. However, there is a lack of updated and comprehensive evidence regarding the association between exposure to ambient air pollution and adverse birth outcomes (preterm birth, low
Externí odkaz:
https://doaj.org/article/989c660c4c1c487eb8858a737c3b47e5
Autor:
Tibebu Kassawmar, Ermias Teferi, Samson Tsegaye, Woldeamlak Bewket, Gete Zeleke, Lemlem Abraha, Claire L. Walsh, Greg O’Donnell
Publikováno v:
Frontiers in Sustainable Food Systems, Vol 8 (2024)
Analysis of grain production performance can provide reference information to explore multiple cropping options and further improve the resource use efficiency of farming methods. This study investigated the spatiotemporal dynamics of grain productio
Externí odkaz:
https://doaj.org/article/026599a171204e73a6dbc4b9f336be59