Provenance for natural language queries

Author:

Deutch Daniel1,Frost Nave1,Gilad Amir1

Affiliation:

1. Tel Aviv University

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.

Publisher

VLDB Endowment

Subject

General Earth and Planetary Sciences,Water Science and Technology,Geography, Planning and Development

Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A three-dimensional model of semantic search: queries, resources, and results;PROBLEMS IN PROGRAMMING;2023-12

2. Query-Guided Resolution in Uncertain Databases;Proceedings of the ACM on Management of Data;2023-06-13

3. FEDEX;Proceedings of the VLDB Endowment;2022-09

4. Towards practical approximate lineage;Proceedings of the 14th International Workshop on the Theory and Practice of Provenance;2022-06-12

5. Putting Things into Context;Proceedings of the 2021 International Conference on Management of Data;2021-06-09

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