Hybrid Learning of Dependency Structures from Heterogeneous Linguistic Resources

Yi Zhang; Rui Wang; Hans Uszkoreit

In: Proceedings of the Twelfth Conference on Computational Natural Language Learning. Conference on Computational Natural Language Learning (CoNLL-08), Twelfth, located at Coling 2008, August 16-17, Manchester, United Kingdom, Pages 198-202, Association for Computational Linguistics, 2008.


In this paper we present our syntactic and semantic dependency parsing system participated in both closed and open competitions of the CoNLL 2008 Shared Task. By combining the outcome of two state-of-the-art syntactic dependency parsers, we achieved high accuracy in syntactic dependencies (87.32%). With MRSes from grammar-based HPSG parsers, we achieved significant performance improvement on semantic role labeling (from 71.31% to 71.89%), especially in the out-domain evaluation (from 60.16% to 62.11%).

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Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence