Text to Data

This chapter covers text-to-data translation. It begins by providing a historical perspective, briefly covering early relevant work on semantic parsing and meaning representation before moving to newer approaches that utilize word embedding, semantic compositionality, knowledge graph, and large language models. Three key topics are covered in depth: (1) converting sentences to structured form, (2) neural semantic parsing, and (3) recent text-to-SQL models, systems, and benchmarks.