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The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
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In: Proceedings of the 1st Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2021) ; https://hal.archives-ouvertes.fr/hal-03466171 ; Proceedings of the 1st Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2021), Aug 2021, Online, France. pp.96-120, ⟨10.18653/v1/2021.gem-1.10⟩ (2021)
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THEaiTRobot 1.0
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Rosa, Rudolf; Dušek, Ondřej; Kocmi, Tom. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2021. : The Švanda Theatre in Smíchov, 2021. : The Academy of Performing Arts in Prague, Theatre Faculty (DAMU), 2021
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The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics ...
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One Model, Many Languages: Meta-learning for Multilingual Text-to-Speech ...
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Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge ...
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RankME: Reliable Human Ratings for Natural Language Generation ...
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Better Conversations by Modeling,Filtering,and Optimizing for Coherence and Diversity ...
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The E2E Dataset: New Challenges For End-to-End Generation ...
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Adaptation of machine translation for multilingual information retrieval in the medical domain
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In: Pecina, Pavel, Dušek, Ondřej, Goeuriot, Lorraine orcid:0000-0001-7491-1980 , Hajič, Jan, Hlaváčová, Jaroslava, Jones, Gareth J.F. orcid:0000-0002-4033-9135 , Kelly, Liadh orcid:0000-0003-1131-5238 , Leveling, Johannes orcid:0000-0003-0603-4191 , Mareček, David, Novák, Michal, Popel, Martin, Rosa, Rudolf, Tamchyna, Aleš and Urešová, Zdeňka (2014) Adaptation of machine translation for multilingual information retrieval in the medical domain. Artificial Intelligence in Medicine, 61 (3). pp. 165-185. ISSN 1873-2860 (2014)
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Adaptation of machine translation for multilingual information retrieval in the medical domain
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In: ISSN: 0933-3657 ; Artificial Intelligence in Medicine ; https://hal.archives-ouvertes.fr/hal-01921881 ; Artificial Intelligence in Medicine, Elsevier, 2014, 61 (3), pp.165 - 185. ⟨10.1016/j.artmed.2014.01.004⟩ (2014)
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