Paper: A Puristic Approach for Joint Dependency Parsing and Semantic Role Labeling

ACL ID W08-2129
Title A Puristic Approach for Joint Dependency Parsing and Semantic Role Labeling
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2008
Authors

We present a puristic approach for com- bining dependency parsing and semantic role labeling. In a first step, a data-driven strict incremental deterministic parser is used to compute a single syntactic de- pendency structure using a MEM trained on the syntactic part of the CoNLL 2008 training corpus. In a second step, a cas- cade of MEMs is used to identify predi- cates, and, for each found predicate, to identify its arguments and their types. All the MEMs used here are trained only with labeled data from the CoNLL 2008 corpus. We participated in the closed challenge, and obtained a labeled macro F1 for WSJ+Brown of 19.93 (20.13 on WSJ only, 18.14 on Brown). For the syn- tactic dependencies we got similar bad results (WSJ+Brown=16.25, WSJ= 16.22, Brown=16.47), as well as fo...