Improved Boosting Algorithms Using Confidence-rated Predictions
Machine Learning - The Eleventh Annual Conference on computational Learning Theory
Automatic labeling of semantic roles
Computational Linguistics
Head-driven statistical models for natural language parsing
Head-driven statistical models for natural language parsing
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
A robust combination strategy for semantic role labeling
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Using a Hybrid Convolution Tree Kernel for Semantic Role Labeling
ACM Transactions on Asian Language Information Processing (TALIP)
Shallow semantic labeling using two-phase feature-enhanced string matching
Expert Systems with Applications: An International Journal
Semantic parsing for high-precision semantic role labelling
CoNLL '08 Proceedings of the Twelfth Conference on Computational Natural Language Learning
Accurate parsing of the proposition bank
NAACL-Short '06 Proceedings of the Human Language Technology Conference of the NAACL, Companion Volume: Short Papers
UTD-HLT-CG: semantic architecture for metonymy resolution and classification of nominal relations
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
Indexing on semantic roles for question answering
IRQA '08 Coling 2008: Proceedings of the 2nd workshop on Information Retrieval for Question Answering
Introduction to the CoNLL-2005 shared task: semantic role labeling
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Using topic themes for multi-document summarization
ACM Transactions on Information Systems (TOIS)
An edit distance approach to shallow semantic labeling
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Linguistic measures for automatic machine translation evaluation
Machine Translation
Automatic projection of semantic structures: an application to pairwise translation ranking
SSST-5 Proceedings of the Fifth Workshop on Syntax, Semantics and Structure in Statistical Translation
Semantic mapping using automatic word alignment and semantic role labeling
SSST-5 Proceedings of the Fifth Workshop on Syntax, Semantics and Structure in Statistical Translation
Exploiting frame information for prepositional phrase semantic role labeling
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
FBK: machine translation evaluation and word similarity metrics for semantic textual similarity
SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
The UPC submission to the WMT 2012 shared task on quality estimation
WMT '12 Proceedings of the Seventh Workshop on Statistical Machine Translation
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In this paper we introduce a semantic role labeling system constructed on top of the full syntactic analysis of text. The labeling problem is modeled using a rich set of lexical, syntactic, and semantic attributes and learned using one-versus-all AdaBoost classifiers. Our results indicate that even a simple approach that assumes that each semantic argument maps into exactly one syntactic phrase obtains encouraging performance, surpassing the best system that uses partial syntax by almost 6%.