Leveraging Discourse Rewards for Document-Level Neural Machine Translation

Jauregi Unanue, I; Esmaili, N; Haffari, G; Piccardi, M

Leveraging Discourse Rewards for Document-Level Neural Machine Translation

Jauregi Unanue, I Esmaili, N Haffari, G Piccardi, M

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the 28th International Conference on Computational Linguistics, 2020
Issue Date:: 2020-12-08

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Field	Value	Language
dc.contributor.author	Jauregi Unanue, I
dc.contributor.author	Esmaili, N
dc.contributor.author	Haffari, G
dc.contributor.author	Piccardi, M https://orcid.org/0000-0001-9250-6604
dc.date	2020-12-08
dc.date.accessioned	2021-03-16T03:17:20Z
dc.date.available	2021-03-16T03:17:20Z
dc.date.issued	2020-12-08
dc.identifier.citation	Proceedings of the 28th International Conference on Computational Linguistics, 2020
dc.identifier.isbn	978-1-952148-27-9
dc.identifier.uri	http://hdl.handle.net/10453/147239
dc.language	en
dc.relation	Capital Markets Cooperative Research Centre - Capital Markets CRC
dc.relation.ispartof	Proceedings of the 28th International Conference on Computational Linguistics
dc.relation.ispartof	COLING 2020The 28th International Conferenceon Computational Linguistics (COLING 2020)
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Leveraging Discourse Rewards for Document-Level Neural Machine Translation
dc.type	Conference Proceeding
utslib.location.activity	Barcelona, Spain
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	open_access	*
pubs.consider-herdc	true
dc.date.updated	2021-03-16T03:17:17Z
pubs.finish-date	2020-12-13
pubs.publication-status	Published
pubs.start-date	2020-12-08

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