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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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MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News Summarization ...
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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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Khresmoi Summary Translation Test Data 2.0
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Dušek, Ondřej; Hajič, Jan; Hlaváčová, Jaroslava; Libovický, Jindřich; Pecina, Pavel; Tamchyna, Aleš; Urešová, Zdeňka. - : Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL), 2017
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Abstract:
This package contains data sets for development (Section dev) and testing (Section test) of machine translation of sentences from summaries of medical articles between Czech, English, French, German, Hungarian, Polish, Spanish and Swedish. Version 2.0 extends the previous version by adding Hungarian, Polish, Spanish, and Swedish translations.
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Keyword:
corpus; Czech; English; French; German; health; Hungarian; machine translation; medical; Polish; Spanish; Swedish; test data
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URL: http://hdl.handle.net/11234/1-2122
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The E2E Dataset: New Challenges For End-to-End Generation ...
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