Abhishek Shah

Rewarding Smatch: Transition-Based AMR Parsing with Reinforcement Learning

2019 · arXiv (Cornell University)

Our work involves enriching the Stack-LSTM transition-based AMR parser (Ballesteros and Al-Onaizan, 2017) by augmenting training with Policy Learning and rewarding the Smatch score of sampled graphs. In addition, we also combined several AMR-to-text alignments …