Explaining Natural Language query results

Daniel Deutch, Nave Frost, Amir Gilad*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Multiple lines of research have developed Natural Language (NL) interfaces for formulating database queries. We build upon this work, but focus on presenting a highly detailed form of the answers in NL. The answers that we present are importantly based on the provenance of tuples in the query result, detailing not only the results but also their explanations. We develop a novel method for transforming provenance information to NL, by leveraging the original NL query structure. Furthermore, since provenance information is typically large and complex, we present two solutions for its effective presentation as NL text: one that is based on provenance factorization, with novel desiderata relevant to the NL case and one that is based on summarization. We have implemented our solution in an end-to-end system supporting questions, answers and provenance, all expressed in NL. Our experiments, including a user study, indicate the quality of our solution and its scalability.

Original languageEnglish
Pages (from-to)485-508
Number of pages24
JournalVLDB Journal
Volume29
Issue number1
DOIs
StatePublished - 1 Jan 2020

Keywords

  • CQ
  • NL
  • Natural Language
  • Provenance
  • UCQ

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