The Meaning Factory at SemEval-2017 Task 9: Producing AMRs with Neural Semantic Parsing
Table 1: Model specifics for the seq2seq model.
['[BOLD] Parameter', '[BOLD] Value']
We use a seq2seq neural translation model to translate English sentences into AMRs. This is a bi-LSTM model with added attention mechanism, as described in \newcitebahdanau2014neural. Similar to \newciteriga:16, but contrasting with \newcitepeng:17, we train the model only on character-level input.