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pro vyhledávání: '"Nikita Moghe"'
Publikováno v:
Moghe, N, Birch-Mayne, A & Steedman, M 2021, Cross-lingual Intermediate Fine-tuning improves Dialogue State Tracking . in M-F Moens, X Huang, L Specia & S Wen-tau Yih (eds), Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing . Stroudsburg, PA, United States, pp. 1137-1150, 2021 Conference on Empirical Methods in Natural Language Processing, Punta Cana, Dominican Republic, 7/11/21 . < https://aclanthology.org/2021.emnlp-main.87/ >
Recent progress in task-oriented neural dialogue systems is largely focused on a handful of languages, as annotation of training data is tedious and expensive. Machine translation has been used to make systems multilingual, but this can introduce a p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6ef3647417e28e57833a6e5fe4df6f0
Publikováno v:
Proceedings of the 5th Conference on Machine Translation
5th Conference on Machine Translation
5th Conference on Machine Translation, Nov 2020, Online, Unknown Region
Moghe, N, Hardmeier, C & Bawden, R 2020, The University of Edinburgh-Uppsala University’s Submission to the WMT 2020 Chat Translation Task . in Proceedings of the Fifth Conference on Machine Translation . pp. 473-478, Fifth Conference on Machine Translation, Online Conference, 19/11/20 . < https://www.aclweb.org/anthology/2020.wmt-1.58 >
HAL
5th Conference on Machine Translation
5th Conference on Machine Translation, Nov 2020, Online, Unknown Region
Moghe, N, Hardmeier, C & Bawden, R 2020, The University of Edinburgh-Uppsala University’s Submission to the WMT 2020 Chat Translation Task . in Proceedings of the Fifth Conference on Machine Translation . pp. 473-478, Fifth Conference on Machine Translation, Online Conference, 19/11/20 . < https://www.aclweb.org/anthology/2020.wmt-1.58 >
HAL
International audience; This paper describes the joint submission of the University of Edinburgh and Uppsala University to the WMT'20 chat translation task for both language directions (English↔German). We use existing state-of-the-art machine tran
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::542af568cab72993aca040648281df66
https://hal.archives-ouvertes.fr/hal-02981159/document
https://hal.archives-ouvertes.fr/hal-02981159/document
We consider the task of generating dialogue responses from background knowledge comprising of domain specific resources. Specifically, given a conversation around a movie, the task is to generate the next response based on background knowledge about
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f5b1c097ea747011a12528f4d6f7fd6
Publikováno v:
EMNLP
Existing dialog datasets contain a sequence of utterances and responses without any explicit background knowledge associated with them. This has resulted in the development of models which treat conversation as a sequence-to-sequence generation task
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78efe918173173abfa6726e18feba0d8