Abstract
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.
Cite
CITATION STYLE
Artsymenia, A., Dounar, P., & Yermakovich, M. (2016). IHS-RD-Belarus at SemEval-2016 task 9: Transition-based Chinese semantic dependency parsing with online reordering and bootstrapping. In SemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings (pp. 1207–1211). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/s16-1187
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