mlsanityData to 7 Oct 2026

Context Dependent Semantic Parsing: A Survey

arXiv 2011.00797 ↗First posted 2 Nov 2020cs.CLcited by 10

Not on the map. Why?

Abstract (arXiv)

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 contextual information (e.g. dialogue and comments history), which has a great potential to boost semantic parsing performance. 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. The collected resources for this topic are available at:https://github.com/zhuang-li/Contextual-Semantic-Parsing-Paper-List.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Nov 2020.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 1; 2022: 2; 2023: 3; 2024: 2; 2025: 0; 2026: 2.

10 papers.