10 citations · 10 across the 1 of their papers we have counts for
2 papers
cs.CL2021★ 10 cited
Retrieval-Augmented Transformer-XL for Close-Domain Dialog Generation
Giovanni Bonetta, Rossella Cancelliere, Ding Liu +1
Transformer-based models have demonstrated excellent capabilities of capturing patterns and structures in natural language generation and achieved state-of-the-art results in many…
cs.LG2019
Copy mechanism and tailored training for character-based data-to-text generation
Marco Roberti, Giovanni Bonetta, Rossella Cancelliere +1
In the last few years, many different methods have been focusing on using deep recurrent neural networks for natural language generation. The most widely used sequence-to-sequence…