Paper: Dependency Parsing with Short Dependency Relations in Unlabeled Data

ACL ID I08-1012
Title Dependency Parsing with Short Dependency Relations in Unlabeled Data
Venue International Joint Conference on Natural Language Processing
Session Main Conference
Year 2008
Authors

This paper presents an effective dependency parsing approach of incorporating short de- pendency information from unlabeled data. The unlabeled data is automatically parsed by a deterministic dependency parser, which can provide relatively high performance for short dependencies between words. We then train another parser which uses the informa- tion on short dependency relations extracted from the output of the first parser. Our pro- posed approach achieves an unlabeled at- tachment score of 86.52, an absolute 1.24% improvement over the baseline system on the data set of Chinese Treebank.