@inproceedings{3d1cc7a0dbff42ad8b3f1fbcd811ce5a,
title = "Explaining queries over web tables to non-experts",
abstract = "Designing a reliable natural language (NL) interface for querying tables has been a longtime goal of researchers in both the data management and natural language processing (NLP) communities. Such an interface receives as input an NL question, translates it into a formal query, executes the query and returns the results. Errors in the translation process are not uncommon, and users typically struggle to understand whether their query has been mapped correctly. We address this problem by explaining the obtained formal queries to non-expert users. We introduce novel query explanations that provide a graphic representation of the query cell-based provenance (in its execution on a given table). Our solution augments a state-of-the-art NL interface over web tables, enhancing it in both its training and deployment phase. Experiments, including a user study conducted on Amazon Mechanical Turk, show our solution to improve both the correctness and reliability of the NL interface.",
keywords = "Annotations, Natural language processing, Nl interfaces, Nlp, Provenance, Query explanations, Semantic parsing, Weak supervision",
author = "Jonathan Berant and Daniel Deutch and Amir Globerson and Tova Milo and Tomer Wolfson",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 35th IEEE International Conference on Data Engineering, ICDE 2019 ; Conference date: 08-04-2019 Through 11-04-2019",
year = "2019",
month = apr,
day = "1",
doi = "https://doi.org/10.1109/ICDE.2019.00144",
language = "الإنجليزيّة",
series = "Proceedings - International Conference on Data Engineering",
publisher = "IEEE Computer Society",
pages = "1570--1573",
booktitle = "Proceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019",
address = "الولايات المتّحدة",
}