Revisiting Challenges in Data-to-Text Generation with Fact Grounding

Understand

Data-to-text generation models face challenges in ensuring data fidelity by referring to the correct input source.

• To inspire studies in this area, Wiseman et al.
• (2017) introduced the RotoWire corpus on generating NBA game summaries from the box- and line-score tables.
• However, limited attempts have been made in this direction and the challenges remain.