Paper: A Pipeline Approach for Syntactic and Semantic Dependency Parsing

ACL ID W08-2132
Title A Pipeline Approach for Syntactic and Semantic Dependency Parsing
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2008
Authors

This paper describes our system for syn- tactic and semantic dependency parsing to participate the shared task of CoNLL- 2008. We use a pipeline approach, in which syntactic dependency parsing, word sense disambiguation, and semantic role labeling are performed separately: Syn- tactic dependency parsing is performed by a tournament model with a support vector machine; word sense disambigua- tion is performed by a nearest neighbour method in a compressed feature space by probabilistic latent semantic indexing; and semantic role labeling is performed by a an online passive-aggressive algorithm. The submitted result was 79.10 macro- average F1 for the joint task, 87.18% syn- tactic dependencies LAS, and 70.84 se- mantic dependencies F1. After the dead- line, we constructed the other configur...