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
- 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
- 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)
- PDF:
- https://preview.aclanthology.org/starsem-semeval-split/P17-2007.pdf