Zhijun Wu: Chinese Semantic Dependency Parsing with Third-Order Features

摘要

This paper presents our system participated on SemEval-2012 task: Chinese Semantic Dependency Parsing. Our system extends the second-order MST model by adding two third-order features. The two third-order features are grand-sibling and tri-sibling. In the decoding phase, we keep the k best results for each span. After using the selected third-order features, our system presently achieves LAS of 61.58% ignoring punctuation tokens which is 0.15% higher than the result of purely second-order model on the test dataset.