We perform

Neural Information Processing Systems 

We thank the reviewers for their thoughtful comments. Below we try to provide as many of them as we could accomplish within the tight time frame. R1, R3, R4: Where does the performance gain come from--the transition system or the GNN? R4: Does the choice of GNNs matter? The 3 most frequent categories are "PP Attachment", Compared to Mrini et al., our method has more "PP Attachment" (342 vs. 320) R1, R3: Compare with existing parsers in terms of efficiency. About 50% of the time is spent on the XLNet encoder, which is the same computation for all three methods.

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