Paper: Improving Data Driven Dependency Parsing using Clausal Information

ACL ID N10-1093
Title Improving Data Driven Dependency Parsing using Clausal Information
Venue Human Language Technologies
Session Main Conference
Year 2010
Authors

The paper describes a data driven dependency parsing approach which uses clausal informa- tion of a sentence to improve the parser per- formance. The clausal information is added automatically during the parsing process. We demonstrate the experiments on Hindi, a lan- guage with relatively rich case marking sys- tem and free-word-order. All the experiments are done using a modified version of MSTParser. We did all the experiments on the ICON 2009 parsing contest data. We achieved an improvement of 0.87% and 0.77% in unla- beled attachment and labeled attachment accu- racies respectively over the baseline parsing accuracies.