Improved Boosting Algorithms Using Confidence-rated Predictions
Machine Learning - The Eleventh Annual Conference on computational Learning Theory
Automatic labeling of semantic roles
Computational Linguistics
Using predicate-argument structures for information extraction
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Support Vector Learning for Semantic Argument Classification
Machine Learning
Question answering based on semantic structures
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Adding predicate argument structure to the Penn TreeBank
HLT '02 Proceedings of the second international conference on Human Language Technology Research
Introduction to the CoNLL-2005 shared task: semantic role labeling
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
A joint model for semantic role labeling
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Generalized inference with multiple semantic role labeling systems
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Semantic role chunking combining complementary syntactic views
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Semantic role labeling using complete syntactic analysis
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
A global joint model for semantic role labeling
Computational Linguistics
Labeling chinese predicates with semantic roles
Computational Linguistics
Towards robust semantic role labeling
Computational Linguistics
Definitional and human constraints on structural annotation of english*
Natural Language Engineering
UPC: experiments with joint learning within SemEval task 9
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
Linguistic features for automatic evaluation of heterogenous MT systems
StatMT '07 Proceedings of the Second Workshop on Statistical Machine Translation
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 1 - Volume 1
Joint inference for bilingual semantic role labeling
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
A minimum error weighting combination strategy for Chinese semantic role labeling
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Integrative semantic dependency parsing via efficient large-scale feature selection
Journal of Artificial Intelligence Research
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This paper focuses on semantic role labeling using automatically-generated syntactic information. A simple and robust strategy for system combination is presented, which allows to partially recover from input parsing errors and to significantly boost results of individual systems. This combination scheme is also very flexible since the individual systems are not required to provide any information other than their solution. Extensive experimental evaluation in the CoNLL-2005 shared task framework supports our previous claims. The proposed architecture outperforms the best results reported in that evaluation exercise.