Abstract
We propose a method for learning semantic CCG parsers by projecting annotations via a parallel corpus. The method opens an avenue towards cheaply creating multilingual semantic parsers mapping open-domain text to formal meaning representations. A first cross-lingually learned Dutch (from English) semantic parser obtains f-scores ranging from 42.99% to 69.22% depending on the level of label informativity taken into account, compared to 58.40% to 78.88% for the underlying source-language system. These are promising numbers compared to state-of-the-art semantic parsing in open domains.- Anthology ID:
- C16-1056
- Volume:
- Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers
- Month:
- December
- Year:
- 2016
- Address:
- Osaka, Japan
- Editors:
- Yuji Matsumoto, Rashmi Prasad
- Venue:
- COLING
- SIG:
- Publisher:
- The COLING 2016 Organizing Committee
- Note:
- Pages:
- 579–588
- Language:
- URL:
- https://aclanthology.org/C16-1056
- DOI:
- Cite (ACL):
- Kilian Evang and Johan Bos. 2016. Cross-lingual Learning of an Open-domain Semantic Parser. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pages 579–588, Osaka, Japan. The COLING 2016 Organizing Committee.
- Cite (Informal):
- Cross-lingual Learning of an Open-domain Semantic Parser (Evang & Bos, COLING 2016)
- PDF:
- https://preview.aclanthology.org/bionlp-24-ingestion/C16-1056.pdf