2019
DOI: 10.12783/dtcse/cscme2019/32565
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Abstract: Dependency parsing is a task of extracting the relationships between words in a sentence. Researchers have achieved great success in transition-based and graph-based methods recently. However, there are problems of error propagation and high time complexity. This paper proposes dependency parser based on reinforcement learning to improve transition-based parser. We regard the actions in transition-based method as RL agent's actions. Meanwhile, we introduce a BACK action, so that the agent can get back to the p… Show more

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