Context Dependent Semantic Parsing: A Survey

Zhuang Li, Lizhen Qu, Gholamreza Haffari


Abstract
Semantic parsing is the task of translating natural language utterances into machine-readable meaning representations. Currently, most semantic parsing methods are not able to utilize the contextual information (e.g. dialogue and comments history), which has a great potential to boost the semantic parsing systems. To address this issue, context dependent semantic parsing has recently drawn a lot of attention. In this survey, we investigate progress on the methods for the context dependent semantic parsing, together with the current datasets and tasks. We then point out open problems and challenges for future research in this area.
Anthology ID:
2020.coling-main.226
Volume:
Proceedings of the 28th International Conference on Computational Linguistics
Month:
December
Year:
2020
Address:
Barcelona, Spain (Online)
Venue:
COLING
SIG:
Publisher:
International Committee on Computational Linguistics
Note:
Pages:
2509–2521
Language:
URL:
https://aclanthology.org/2020.coling-main.226
DOI:
10.18653/v1/2020.coling-main.226
Bibkey:
Cite (ACL):
Zhuang Li, Lizhen Qu, and Gholamreza Haffari. 2020. Context Dependent Semantic Parsing: A Survey. In Proceedings of the 28th International Conference on Computational Linguistics, pages 2509–2521, Barcelona, Spain (Online). International Committee on Computational Linguistics.
Cite (Informal):
Context Dependent Semantic Parsing: A Survey (Li et al., COLING 2020)
Copy Citation:
PDF:
https://aclanthology.org/2020.coling-main.226.pdf
Code
 zhuang-li/Contextual-Semantic-Parsing-Paper-List
Data
CSQASParC