Data-to-Text Generation Task
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A Data-to-Text Generation Task is a Text Generation Task that produces text items from non-linguistic data sources (not a Linguistic Item).
References
2019
- (Puduppully et al., 2019) ⇒ Ratish Puduppully, Li Dong, and Mirella Lapata. (2019). “Data-to-Text Generation with Content Selection and Planning.” In: Proceedings of the AAAI Conference on Artificial Intelligence.
- QUOTE: Data-to-text generation broadly refers to the task of automatically producing text from non-linguistic input (Reiter and Dale 2000; Gatt and Krahmer 2018). The input may be in various forms including databases of records, spreadsheets, expert system knowledge bases, simulations of physical systems, and so on.