Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Barua, Aditya"'
In this paper, we explore the challenging problem of performing a generative task in a target language when labeled data is only available in English, using summarization as a case study. We assume a strict setting with no access to parallel data or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01626c6fa993b3f33b882eab92a23bd8
http://arxiv.org/abs/2205.12647
http://arxiv.org/abs/2205.12647
Autor:
Xue, Linting, Barua, Aditya, Constant, Noah, Al-Rfou, Rami, Narang, Sharan, Kale, Mihir, Roberts, Adam, Raffel, Colin
Most widely-used pre-trained language models operate on sequences of tokens corresponding to word or subword units. By comparison, token-free models that operate directly on raw text (bytes or characters) have many benefits: they can process text in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab3a00509554a4400e20eef8abd074a8