Abstract
We present our submission to the IWCS 2019 shared task on semantic parsing, a transition-based parser that uses explicit word-meaning pairings, but no explicit representation of syntax. Parsing decisions are made based on vector representations of parser states, encoded via stack-LSTMs (Ballesteros et al., 2017), as well as some heuristic rules. Our system reaches 70.88% f-score in the competition.- Anthology ID:
- W19-1202
- Volume:
- Proceedings of the IWCS Shared Task on Semantic Parsing
- Month:
- May
- Year:
- 2019
- Address:
- Gothenburg, Sweden
- Venue:
- IWCS
- SIG:
- SIGSEM
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- Language:
- URL:
- https://aclanthology.org/W19-1202
- DOI:
- 10.18653/v1/W19-1202
- Cite (ACL):
- Kilian Evang. 2019. Transition-based DRS Parsing Using Stack-LSTMs. In Proceedings of the IWCS Shared Task on Semantic Parsing, Gothenburg, Sweden. Association for Computational Linguistics.
- Cite (Informal):
- Transition-based DRS Parsing Using Stack-LSTMs (Evang, IWCS 2019)
- PDF:
- https://preview.aclanthology.org/auto-file-uploads/W19-1202.pdf