Data-to-Text

Data-to-Text is a technology that automatically converts structured data into natural language texts. It is a subfield of Natural Language Generation (NLG), where data forms the basis for text creation. Data-to-Text systems enable the generation, updating, and localization of high-quality texts based on structured data. Instead of generating each text individually, text creation and updating becomes a scalable and even autonomous process through a central rule set. The advantages of Data-to-Text include:

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