Tackling Error Propagation through Reinforcement Learning: A Case of Greedy Dependency Parsing

Conference object, Preprint English OPEN
Le, M.N.; Fokkens, A.S.;
(2017)
  • Subject: Computer Science - Computation and Language

Error propagation is a common problem in NLP. Reinforcement learning explores erroneous states during training and can therefore be more robust when mistakes are made early in a process. In this paper, we apply reinforcement learning to greedy dependency parsing which i... View more
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