Structured Data-to-Text

Structured Data-to-Text is a task that involves converting structured data, often in the form of tables, databases, or other organized data formats, into human-readable and coherent natural language text. The goal of structured data-to-text systems is to automatically generate descriptive and informative narratives or textual summaries that convey the key information contained within the structured data.

Synonyms:

Data-to-Text Generation, Data2Text, Data-to-Text

Papers published in this field over the years:

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