Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Denny Britz"'
Publikováno v:
EMNLP
The standard content-based attention mechanism typically used in sequence-to-sequence models is computationally expensive as it requires the comparison of large encoder and decoder states at each time step. In this work, we propose an alternative att
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6de98be4fa910348737f8f56e9198fb
http://arxiv.org/abs/1707.00110
http://arxiv.org/abs/1707.00110
Publikováno v:
EMNLP
Sequence-to-sequence models have been applied to the conversation response generation problem where the source sequence is the conversation history and the target sequence is the response. Unlike translation, conversation responding is inherently cre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c38826a05bf8dfac5b77c1c317371db
http://arxiv.org/abs/1701.03185
http://arxiv.org/abs/1701.03185
Publikováno v:
WMT
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98d5b5b3febfa1170b45a0da9071a23e
https://doi.org/10.18653/v1/w17-4712
https://doi.org/10.18653/v1/w17-4712
Publikováno v:
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing.
Neural Machine Translation (NMT) has shown remarkable progress over the past few years with production systems now being deployed to end-users. One major drawback of current architectures is that they are expensive to train, typically requiring days
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c6c0faaa101e0c8cebc2e072996eac7
https://doi.org/10.18653/v1/d17-1151
https://doi.org/10.18653/v1/d17-1151