M2L at SemEval-2016 Task 8: AMR Parsing with Neural Networks
Yevgeniy Puzikov, Daisuke Kawahara, Sadao Kurohashi · 2016
This paper describes our contribution to the SemEval 2016 Workshop.We participated in the Shared Task 8 on Meaning Representation parsing using a transition-based approach, which builds upon the system of Wang et al. (2015a) and Wang et al. (2015b), with additions that utilize a Feedforward Neural Network classifier and an enriched feature set.We observed that exploiting Neural Networks in Abstract Meaning Representation parsing is challenging and we could not benefit from it, while the feature enhancements yielded an improved performance over the baseline model.