An introduction to variable and feature selection
The Journal of Machine Learning Research
Labeling chinese predicates with semantic roles
Computational Linguistics
Probabilistic Models for Action-Based Chinese Dependency Parsing
ECML '07 Proceedings of the 18th European conference on Machine Learning
Fast Semantic Role Labeling for Chinese Based on Semantic Chunking
ICCPOL '09 Proceedings of the 22nd International Conference on Computer Processing of Oriental Languages. Language Technology for the Knowledge-based Economy
Prediction of maximal projection for semantic role labeling
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Improving Chinese semantic role classification with hierarchical feature selection strategy
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Chinese semantic role labeling with shallow parsing
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
Semantics-driven shallow parsing for Chinese semantic role labeling
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
Semantics-driven shallow parsing for Chinese semantic role labeling
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
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Developing features has been shown crucial to advancing the state-of-the-art in Semantic Role Labeling (SRL). To improve Chinese SRL, we propose a set of additional features, some of which are designed to better capture structural information. Our system achieves 93.49 Fmeasure, a significant improvement over the best reported performance 92.0. We are further concerned with the effect of parsing in Chinese SRL. We empirically analyze the two-fold effect, grouping words into constituents and providing syntactic information. We also give some preliminary linguistic explanations.