Transition-based Parsing with Context Enhancement and Future Reward Reranking

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Zhou, Fugen; Wu, Fuxiang; Zhang, Zhengchen; Dong, Minghui;
(2016)
  • Subject: Computer Science - Computation and Language

This paper presents a novel reranking model, future reward reranking, to re-score the actions in a transition-based parser by using a global scorer. Different to conventional reranking parsing, the model searches for the best dependency tree in all feasible trees constr... View more
  • References (37)
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