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This paper is a description of our system developed for SemEval-2016 Task 9: Chinese Semantic Dependency Parsing. We have built a transition-based dependency parser with online reordering, which is not limited to a tree structure and can produce 99.7% of the necessary dependencies while maintaining linear algorithm complexity. To improve parsing quality we used additional techniques such as pre- and post-processing of the dependency graph, bootstrapping and a rich feature set with additional semantic features.

IHS-RD-Belarus at SemEval-2016 Task 9: Transition-based Chinese Semantic Dependency Parsing with Online Reordering and Bootstrapping.