Text-to-SQL task-oriented dialogue ontology construction
Text-to-SQL task-oriented dialogue ontology construction :conference/acl2026/Information retrieval oral session: :journal/2026-07-05:paper/Text-to-SQL task-oriented dialogue ontology construction:
↳ from conference/acl2026/Information retrieval oral session
[[https://arxiv.org/abs/2507.23358]] is this not solved by claude today? A task oriented dialogue = system with domains, slots, values, intents, actions. They are manually built, the paper shows a method to create this ontology from raw data. For some reason they chose SQL
SQL maps tables -> domains, columns -> slots, values. This improves prompt clarity by constraining the space. They evalute quality of automatic ontologies comparing with GT ontologies. It shows absolute SOTA on ontology construction, making SQL seems cool as hell. ** Limitation
- SQL fits 3-level ontologies best
- approach is sensitive to prompt phrasing
- limited by context windows -> no iterative way ?