Tackling Error Propagation through Reinforcement Learning: A Case of Greedy Dependency Parsing
Conference object, PreprintEnglishOPEN
Le, M.N.; Fokkens, A.S.;
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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