Context Dependent Semantic Parsing: A Survey

Zhuang Li; Lizhen Qu; Gholamreza Haffari

COLING 2020main21 citations

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.

BibTeX

@inproceedings{li-etal-2020-context,
    title = "Context Dependent Semantic Parsing: A Survey",
    author = "Li, Zhuang  and
      Qu, Lizhen  and
      Haffari, Gholamreza",
    editor = "Scott, Donia  and
      Bel, Nuria  and
      Zong, Chengqing",
    booktitle = "Proceedings of the 28th International Conference on Computational Linguistics",
    month = dec,
    year = "2020",
    address = "Barcelona, Spain (Online)",
    publisher = "International Committee on Computational Linguistics",
    url = "https://aclanthology.org/2020.coling-main.226/",
    doi = "10.18653/v1/2020.coling-main.226",
    pages = "2509--2521"
}