A Bayesian Model for Generative Transition-based Dependency Parsing
Table 5: Parsing accuracies on the YM test set. compared against previous published results. TitovH07 was retrained to enable direct comparison.
['Model', 'UAS', 'LAS']
Our HPYP model performs much better than Eisner’s generative model as well as the Bayesian version of that model proposed by \newciteWallachSM08 (the result for Eisner’s model is given as reported by \newciteWallachSM08 on the WSJ). The accuracy of our model is only 0.8 UAS below the generative model of \newciteTitovH07, despite that model being much more powerful. The Titov and Henderson model takes 3 days to train, and its decoding speed is around 1 sentence per second.