Syntactic Parsing with Hierarchical Modeling

Abstract. This paper proposes a hierarchical model to parse both English and Chinese sentences. This is done by iteratively constructing simple constituents first, so that complex ones could be detected reliably with richer contextual information in the following processes. Evaluation on the Penn WSJ Treebank and the Penn Chinese Treebank using maximum entropy models shows that our method can achieve a good performance with more flexibility for future improvement.

• Type: Conference
• Year: 2008
• Where: AIRS
• Authors: Junhui Li, Guodong Zhou, Qiaoming Zhu, Peide Qian
• Keywords: AIRS 2008, Information Retrieval, Penn Chinese Treebank, Penn WSJ Treebank, Richer Contextual Information