Paper: Multilingual Dependency Parsing and Domain Adaptation using DeSR

ACL ID D07-1119
Title Multilingual Dependency Parsing and Domain Adaptation using DeSR
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2007
Authors

We describe our experiments using the DeSR parser in the multilingual and do- main adaptation tracks of the CoNLL 2007 shared task. DeSR implements an incre- mental deterministic Shift/Reduce parsing algorithm, using specific rules to handle non-projective dependencies. For the multi- lingual track we adopted a second order averaged perceptron and performed feature selection to tune a feature model for each language. For the domain adaptation track we applied a tree revision method which learns how to correct the mistakes made by the base parser on the adaptation domain.