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1
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics ...
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2
One Model, Many Languages: Meta-learning for Multilingual Text-to-Speech ...
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3
Neural Generation for Czech: Data and Baselines ...
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4
Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge ...
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5
RankME: Reliable Human Ratings for Natural Language Generation ...
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6
Better Conversations by Modeling,Filtering,and Optimizing for Coherence and Diversity ...
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7
Findings of the E2E NLG Challenge ...
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8
The E2E Dataset: New Challenges For End-to-End Generation ...
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