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 language | English |
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| Title of host publication | COLING 2020 |
| Subtitle of host publication | The 28th International Conference on Computational Linguistics, Proceedings of the Conference |
| Editors | Nuria Bel, Chengquing Zong |
| Place of Publication | Stroudsburg PA USA |
| Publisher | Association for Computational Linguistics (ACL) |
| Pages | 2509–2521 |
| Number of pages | 13 |
| ISBN (Electronic) | 9781952148279 |
| DOIs | |
| Publication status | Published - 2020 |
| Event | International Conference on Computational Linguistics 2020 - Virtual, Barcelona, Spain Duration: 8 Dec 2020 → 13 Dec 2020 Conference number: 28th https://coling2020.org (Website) https://www.aclweb.org/anthology/volumes/2020.coling-main/ (Proceedings) |
Conference
| Conference | International Conference on Computational Linguistics 2020 |
|---|---|
| Abbreviated title | COLING 2020 |
| Country/Territory | Spain |
| City | Barcelona |
| Period | 8/12/20 → 13/12/20 |
| Internet address |
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