Tree Topological Features for Unlexicalized Parsing.

COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters(2010)

引用 3|浏览0
暂无评分
摘要
As unlexicalized parsing lacks word token information, it is important to investigate novel parsing features to improve the accuracy. This paper studies a set of tree topological (TT) features. They quantitatively describe the tree shape dominated by each non-terminal node. The features are useful in capturing linguistic notions such as grammatical weight and syntactic branching, which are factors important to syntactic processing but overlooked in the parsing literature. By using an ensemble classifier-based model, TT features can significantly improve the parsing accuracy of our unlexicalized parser. Further, the ease of estimating TT feature values makes them easy to be incorporated into virtually any mainstream parsers.
更多
查看译文
关键词
novel parsing feature,parsing accuracy,parsing literature,unlexicalized parsing,TT feature,TT feature value,tree shape,tree topological,unlexicalized parser,ensemble classifier-based model,tree topological feature
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要