National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
Data-to-text generation with text-editing models
Grajcar, Peter ; Dušek, Ondřej (advisor) ; Variš, Dušan (referee)
We explore the use of different model extensions of the FELIX neural transformer-based text-editing model for data-to-text generation. Our ap- proach is based on iterative text-editing - transforming the individual items of the input data into short sentences using trivial templates and then it- eratively improving the text by fusing the sentences using a text-editing model. Our extensions include replacing the FELIX's non-autoregressive de- coder with an autoregressive transformer decoder, extending the decoding so that it can preserve the input data in the output text, and adding a pointer network-based clause-level reordering mechanism. Furthermore, we propose our own new dataset versions of the WebNLG and DiscoFuse datasets for training the text-editing models. We evaluate our models on the WebNLG dataset with automatic metrics and manually analyse the outputs of selected models.

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