The Meaning Factory at SemEval-2017 Task 9: Producing AMRs with Neural Semantic Parsing
Table 4: Official results on the evaluation set for both the ensemble and the seq-to-seq neural semantic parser.
['[BOLD] Setting', '[BOLD] seq2seq', '[BOLD] Ensemble']
It is interesting to note that seq2seq scores equally well without word sense disambiguation, while there is no separate module that handles this.