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Provenance for Natural Language Queries

Summary: End-to-end NL QA system delivering provenance-enabled answers with explanations tied to query provenance. Introduces two NL provenance views—factorization and summarization—turning large provenance into readable NL, with experiments and a user study on quality and scalability. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11554
Venue
VLDB
Year
2017
Pagerank
5.8711821e-05
Overall Rank
4,853 | 66.28%
DOI
-

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