SemEval-2017 Task 9: Abstract Meaning Representation Parsing and Generation

Jonathan May, Jay Priyadarshi


Abstract
In this report we summarize the results of the 2017 AMR SemEval shared task. The task consisted of two separate yet related subtasks. In the parsing subtask, participants were asked to produce Abstract Meaning Representation (AMR) (Banarescu et al., 2013) graphs for a set of English sentences in the biomedical domain. In the generation subtask, participants were asked to generate English sentences given AMR graphs in the news/forum domain. A total of five sites participated in the parsing subtask, and four participated in the generation subtask. Along with a description of the task and the participants’ systems, we show various score ablations and some sample outputs.
Anthology ID:
S17-2090
Volume:
Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
Month:
August
Year:
2017
Address:
Vancouver, Canada
Venue:
*SEMEVAL
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
536–545
Language:
URL:
https://www.aclweb.org/anthology/S17-2090
DOI:
10.18653/v1/S17-2090
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/S17-2090.pdf