Neural Architectures for Multilingual Semantic Parsing

Raymond Hendy Susanto, Wei Lu


Abstract
In this paper, we address semantic parsing in a multilingual context. We train one multilingual model that is capable of parsing natural language sentences from multiple different languages into their corresponding formal semantic representations. We extend an existing sequence-to-tree model to a multi-task learning framework which shares the decoder for generating semantic representations. We report evaluation results on the multilingual GeoQuery corpus and introduce a new multilingual version of the ATIS corpus.
Anthology ID:
P17-2007
Volume:
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
Month:
July
Year:
2017
Address:
Vancouver, Canada
Editors:
Regina Barzilay, Min-Yen Kan
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
38–44
Language:
URL:
https://aclanthology.org/P17-2007
DOI:
10.18653/v1/P17-2007
Bibkey:
Cite (ACL):
Raymond Hendy Susanto and Wei Lu. 2017. Neural Architectures for Multilingual Semantic Parsing. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), pages 38–44, Vancouver, Canada. Association for Computational Linguistics.
Cite (Informal):
Neural Architectures for Multilingual Semantic Parsing (Susanto & Lu, ACL 2017)
Copy Citation:
PDF:
https://aclanthology.org/P17-2007.pdf
Video:
 https://aclanthology.org/P17-2007.mp4