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PleaSQLarify: Visual Pragmatic Repair for Natural Language Database Querying
🤖AI Summary
Researchers present PleaSQLarify, a visual interface system that helps resolve ambiguity in natural language database queries through pragmatic repair - an incremental clarification process. The system uses interpretable decision variables and visual exploration to help users efficiently disambiguate queries when their intent doesn't match system interpretation.
Key Takeaways
- →PleaSQLarify introduces pragmatic repair as a solution to ambiguity problems in natural language database interfaces.
- →The system uses visual interfaces to surface action spaces and enable efficient user clarification of queries.
- →A study with twelve participants showed the system helped users recognize alternative interpretations and resolve ambiguity.
- →The approach reframes database querying challenges through pragmatic inference rather than collapsing uncertainty into single queries.
- →The research highlights pragmatic repair as a design principle for improving user control in natural language interfaces.
#natural-language#database#user-interface#pragmatic-repair#query-disambiguation#visual-interface#nlp#human-computer-interaction
Read Original →via arXiv – CS AI
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