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        <title>Context Dependent Semantic Parsing: A Survey</title>
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            <title>Proceedings of the 28th International Conference on Computational Linguistics</title>
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        <name type="personal">
            <namePart type="given">Nuria</namePart>
            <namePart type="family">Bel</namePart>
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        <name type="personal">
            <namePart type="given">Chengqing</namePart>
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    <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.</abstract>
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    <identifier type="doi">10.18653/v1/2020.coling-main.226</identifier>
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        <date>2020-12</date>
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%0 Conference Proceedings
%T Context Dependent Semantic Parsing: A Survey
%A Li, Zhuang
%A Qu, Lizhen
%A Haffari, Gholamreza
%Y Scott, Donia
%Y Bel, Nuria
%Y Zong, Chengqing
%S Proceedings of the 28th International Conference on Computational Linguistics
%D 2020
%8 December
%I International Committee on Computational Linguistics
%C Barcelona, Spain (Online)
%F li-etal-2020-context
%X 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.
%R 10.18653/v1/2020.coling-main.226
%U https://aclanthology.org/2020.coling-main.226
%U https://doi.org/10.18653/v1/2020.coling-main.226
%P 2509-2521

Markdown (Informal)

[Context Dependent Semantic Parsing: A Survey](https://aclanthology.org/2020.coling-main.226) (Li et al., COLING 2020)

• Context Dependent Semantic Parsing: A Survey (Li et al., COLING 2020)

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.