Context dependent semantic parsing: a survey

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

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.
Original languageEnglish
Title of host publicationCOLING 2020
Subtitle of host publicationThe 28th International Conference on Computational Linguistics, Proceedings of the Conference
EditorsNuria Bel, Chengquing Zong
Place of PublicationStroudsburg PA USA
PublisherAssociation for Computational Linguistics (ACL)
Pages2509–2521
Number of pages13
ISBN (Electronic)9781952148279
DOIs
Publication statusPublished - 2020
EventInternational Conference on Computational Linguistics 2020 - Virtual, Barcelona, Spain
Duration: 8 Dec 202013 Dec 2020
Conference number: 28th
https://coling2020.org (Website)
https://www.aclweb.org/anthology/volumes/2020.coling-main/ (Proceedings)

Conference

ConferenceInternational Conference on Computational Linguistics 2020
Abbreviated titleCOLING 2020
Country/TerritorySpain
CityBarcelona
Period8/12/2013/12/20
Internet address

Cite this