Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Giulio Zhou"'
Personalized recommender systems suffuse modern life, shaping what media we read and what products we consume. Algorithms powering such systems tend to consist of supervised learning-based heuristics, such as latent factor models with a variety of he
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f37069563ac85e9f03d834ad195ad1d4
http://arxiv.org/abs/2304.09088
http://arxiv.org/abs/2304.09088
Publikováno v:
Findings of the Association for Computational Linguistics: ACL 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::501e4e79b84562dc52edec8c6708da7f
https://doi.org/10.18653/v1/2022.findings-acl.170
https://doi.org/10.18653/v1/2022.findings-acl.170
Autor:
Gerasimos Lampouras, Giulio Zhou
Publikováno v:
ACL/IJCNLP (1)
Concept-to-text Natural Language Generation is the task of expressing an input meaning representation in natural language. Previous approaches in this task have been able to generalise to rare or unseen instances by relying on a delexicalisation of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::229138b058373a045e54bd23099d3578
http://arxiv.org/abs/2105.03432
http://arxiv.org/abs/2105.03432
Autor:
Giulio Zhou, Jacob Devlin
Publikováno v:
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::548b00b42783fe1c07066ab432dbe1d5
https://doi.org/10.18653/v1/2021.emnlp-main.443
https://doi.org/10.18653/v1/2021.emnlp-main.443