NAACL 2021long49 citations
NL-EDIT: Correcting Semantic Parse Errors through Natural Language Interaction
Ahmed Elgohary, Christopher Meek, Matthew Richardson, Adam Fourney, Gonzalo Ramos, Ahmed Hassan Awadallah
Abstract
We study semantic parsing in an interactive setting in which users correct errors with natural language feedback. We present NL-EDIT, a model for interpreting natural language feedback in the interaction context to generate a sequence of edits that can be applied to the initial parse to correct its errors. We show that NL-EDIT can boost the accuracy of existing text-to-SQL parsers by up to 20% with only one turn of correction. We analyze the limitations of the model and discuss directions for improvement and evaluation. The code and datasets used in this paper are publicly available at http://aka.ms/NLEdit.
BibTeX
@inproceedings{elgohary-etal-2021-nl,
title = "{NL}-{EDIT}: Correcting Semantic Parse Errors through Natural Language Interaction",
author = "Elgohary, Ahmed and
Meek, Christopher and
Richardson, Matthew and
Fourney, Adam and
Ramos, Gonzalo and
Awadallah, Ahmed Hassan",
editor = "Toutanova, Kristina and
Rumshisky, Anna and
Zettlemoyer, Luke and
Hakkani-Tur, Dilek and
Beltagy, Iz and
Bethard, Steven and
Cotterell, Ryan and
Chakraborty, Tanmoy and
Zhou, Yichao",
booktitle = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
month = jun,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.naacl-main.444/",
doi = "10.18653/v1/2021.naacl-main.444",
pages = "5599--5610"
}