Search Results for author:
Found 11 papers, 0 papers with code
The DipInfoUniTo Realizer at SRST'19: Learning to Rank and Deep Morphology Prediction for Multilingual Surface Realization
We describe the system presented at the SR{'}19 shared task by the DipInfoUnito team.
Using NLG for speech synthesis of mathematical sentences
People with sight impairments can access to a mathematical expression by using its LaTeX source.
Designing and testing the messages produced by a virtual dietitian
This paper presents a project about the automatic generation of persuasive messages in the context of the diet management.
The DipInfo-UniTo system for SRST 2018
This paper describes the system developed by the DipInfo-UniTo team to participate to the shallow track of the Surface Realization Shared Task 2018.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
