Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Quentin Meeus"'
Publikováno v:
Applied Sciences, Vol 13, Iss 20, p 11291 (2023)
Speech representation models lack the ability to efficiently store semantic information and require fine tuning to deliver decent performance. In this research, we introduce a transformer encoder–decoder framework with a multiobjective training str
Externí odkaz:
https://doaj.org/article/1d242ceeacba4fd89f6e94f08f120eac
We explore the benefits that multitask learning offer to speech processing as we train models on dual objectives with automatic speech recognition and intent classification or sentiment classification. Our models, although being of modest size, show
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d866a1eab47d159e57c578362c8759cc
Publikováno v:
Frontiers in Big Data
Fake news is increasingly an issue on social media platforms. In this work, rather than detect misinformation, we propose the use of nudges to help steer internet users into fact checking the news they read online. We discuss two types of nudging str
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac00a938e7b97145f26d55ff2eb2dd20
https://lirias.kuleuven.be/handle/123456789/642529
https://lirias.kuleuven.be/handle/123456789/642529