Paper: Hierarchical Semantic Role Labeling

ACL ID W05-0630
Title Hierarchical Semantic Role Labeling
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2005
Authors

We present a four-step hierarchical SRL strategy which generalizes the classical two-level approach (boundary detection and classification). To achieve this, we have split the classification step by group- ing together roles which share linguistic properties (e.g. Core Roles versus Ad- juncts). The results show that the non- optimized hierarchical approach is com- putationally more efficient than the tradi- tional systems and it preserves their accu- racy.