2 papers
cs.CL2021
Controlling Hallucinations at Word Level in Data-to-Text Generation
Clément Rebuffel, Marco Roberti, Laure Soulier +3
Data-to-Text Generation (DTG) is a subfield of Natural Language Generation aiming at transcribing structured data in natural language descriptions. The field has been recently boos…
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…