On the other hand, by recursively feeding both the query vector and the soft headword embedding into the RNN, the model implicitly captures high-order parsing history information, which can potentially improve the parsing accuracy (Yamada and Matsumoto, 2003;McDonald and Pereira, 2006).
for a graph-based dependency parser, utilizing parsing history features is computationally expensive.