Paper: Projective Dependency Parsing With Perceptron

ACL ID W06-2925
Title Projective Dependency Parsing With Perceptron
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2006

We describe an online learning depen- dency parser for the CoNLL-X Shared Task, based on the bottom-up projective algorithm of Eisner (2000). We experi- ment with a large feature set that mod- els: the tokens involved in dependencies and their immediate context, the surface- text distance between tokens, and the syn- tactic context dominated by each depen- dency. In experiments, the treatment of multilingual information was totally blind.