An iterative approach for joint dependency parsing and semantic role labeling

Authors:
Qifeng Dai;Enhong Chen;Liu Shi
Affiliations:
University of Science and Technology of China, Hefei, China;University of Science and Technology of China, Hefei, China;University of Science and Technology of China, Hefei, China
Venue:
CoNLL '09 Proceedings of the Thirteenth Conference on Computational Natural Language Learning: Shared Task
Year:
2009

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Abstract

We propose a system to carry out the joint parsing of syntactic and semantic dependencies in multiple languages for our participation in the shared task of CoNLL-2009. We present an iterative approach for dependency parsing and semantic role labeling. We have participated in the closed challenge, and our system achieves 73.98% on labeled macro F1 for the complete problem, 77.11% on labeled attachment score for syntactic dependencies, and 70.78% on labeled F1 for semantic dependencies. The current experimental results show that our method effectively improves system performance.