Ultraconservative online algorithms for multiclass problems
The Journal of Machine Learning Research
Machine Learning
Adding semantic roles to the chinese treebank
Natural Language Engineering
Proceedings of the 2008 conference on Artificial Intelligence Research and Development: Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence
The CoNLL-2008 shared task on joint parsing of syntactic and semantic dependencies
CoNLL '08 Proceedings of the Twelfth Conference on Computational Natural Language Learning
The CoNLL-2009 shared task: syntactic and semantic dependencies in multiple languages
CoNLL '09 Proceedings of the Thirteenth Conference on Computational Natural Language Learning: Shared Task
A structured model for joint learning of argument roles and predicate senses
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
Probabilistic-logical web data integration
RW'11 Proceedings of the 7th international conference on Reasoning web: semantic technologies for the web of data
Analysis of the difficulties in Chinese deep parsing
IWPT '11 Proceedings of the 12th International Conference on Parsing Technologies
Statistical relational data integration for information extraction
RW'13 Proceedings of the 9th international conference on Reasoning Web: semantic technologies for intelligent data access
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This paper presents our system for the CoNLL 2009 Shared Task on Syntactic and Semantic Dependencies in Multiple Languages (Hajič et al., 2009). In this work we focus only on the Semantic Role Labelling (SRL) task. We use Markov Logic to define a joint SRL model and achieve the third best average performance in the closed Track for SRLOnly systems and the sixth including for both SRLOnly and Joint systems.