Application of feature propagation to dependency parsing.
IWPT '09: Proceedings of the 11th International Conference on Parsing Technologies(2009)
摘要
This paper presents a set of experiments performed on parsing the Basque Dependency Treebank. We have applied feature propagation to dependency parsing, experimenting the propagation of several morphosyntactic feature values. In the experiments we have used the output of a parser to enrich the input of a second parser. Both parsers have been generated by Maltparser, a freely data-driven dependency parser generator. The transformations, combined with the pseudoprojective graph transformation, obtain a LAS of 77.12% improving the best reported results for Basque.
更多查看译文
关键词
data-driven dependency parser generator,Basque Dependency Treebank,dependency parsing,feature propagation,morphosyntactic feature value,pseudoprojective graph transformation,reported result
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络