10 citations · 26 across the 17 of their papers we have counts for
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cs.CL2020★ 10 cited
Evaluating Semantic Accuracy of Data-to-Text Generation with Natural Language Inference
Ondřej Dušek, Zdeněk Kasner
A major challenge in evaluating data-to-text (D2T) generation is measuring the semantic accuracy of the generated text, i.e. checking if the output text contains all and only facts…
cs.CL2020★ 1 cited
Data-to-Text Generation with Iterative Text Editing
Zdeněk Kasner, Ondřej Dušek
We present a novel approach to data-to-text generation based on iterative text editing. Our approach maximizes the completeness and semantic accuracy of the output text while lever…
cs.CL2020★ 6 cited
Improving Fluency of Non-Autoregressive Machine Translation
Zdeněk Kasner, Jindřich Libovický, Jindřich Helcl
Non-autoregressive (nAR) models for machine translation (MT) manifest superior decoding speed when compared to autoregressive (AR) models, at the expense of impaired fluency of the…