Weakly Supervised Semantic Parsing by Learning from Mistakes

Jiaqi Guo, Jian-Guang Lou, Ting Liu, Dongmei Zhang


Abstract
Weakly supervised semantic parsing (WSP) aims at training a parser via utterance-denotation pairs. This task is challenging because it requires (1) searching consistent logical forms in a huge space; and (2) dealing with spurious logical forms. In this work, we propose Learning from Mistakes (LFM), a simple yet effective learning framework for WSP. LFM utilizes the mistakes made by a parser during searching, i.e., generating logical forms that do not execute to correct denotations, for tackling the two challenges. In a nutshell, LFM additionally trains a parser using utterance-logical form pairs created from mistakes, which can quickly bootstrap the parser to search consistent logical forms. Also, it can motivate the parser to learn the correct mapping between utterances and logical forms, thus dealing with the spuriousness of logical forms. We evaluate LFM on WikiTableQuestions, WikiSQL, and TabFact in the WSP setting. The parser trained with LFM outperforms the previous state-of-the-art semantic parsing approaches on the three datasets. Also, we find that LFM can substantially reduce the need for labeled data. Using only 10% of utterance-denotation pairs, the parser achieves 84.2 denotation accuracy on WikiSQL, which is competitive with the previous state-of-the-art approaches using 100% labeled data.
Anthology ID:
2021.findings-emnlp.222
Volume:
Findings of the Association for Computational Linguistics: EMNLP 2021
Month:
November
Year:
2021
Address:
Punta Cana, Dominican Republic
Venue:
Findings
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
2603–2617
Language:
URL:
https://aclanthology.org/2021.findings-emnlp.222
DOI:
10.18653/v1/2021.findings-emnlp.222
Bibkey:
Cite (ACL):
Jiaqi Guo, Jian-Guang Lou, Ting Liu, and Dongmei Zhang. 2021. Weakly Supervised Semantic Parsing by Learning from Mistakes. In Findings of the Association for Computational Linguistics: EMNLP 2021, pages 2603–2617, Punta Cana, Dominican Republic. Association for Computational Linguistics.
Cite (Informal):
Weakly Supervised Semantic Parsing by Learning from Mistakes (Guo et al., Findings 2021)
Copy Citation:
PDF:
https://preview.aclanthology.org/author-url/2021.findings-emnlp.222.pdf
Video:
 https://preview.aclanthology.org/author-url/2021.findings-emnlp.222.mp4
Code
 jasperguo/lfm
Data
TabFactWikiSQLWikiTableQuestions