Automatic labeling of semantic roles
Computational Linguistics
SemEval-2007 task 09: multilevel semantic annotation of Catalan and Spanish
SemEval '07 Proceedings of the 4th International Workshop on Semantic Evaluations
Introduction to the CoNLL-2005 shared task: semantic role labeling
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Semantic role labeling as sequential tagging
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Applying spelling error correction techniques for improving semantic role labelling
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
A combined memory-based semantic role labeler of English
CoNLL '08 Proceedings of the Twelfth Conference on Computational Natural Language Learning
Analysis of joint inference strategies for the semantic role labeling of Spanish and Catalan
CICLing'08 Proceedings of the 9th international conference on Computational linguistics and intelligent text processing
Towards semi-supervised brazilian portuguese semantic role labeling: building a benchmark
PROPOR'12 Proceedings of the 10th international conference on Computational Processing of the Portuguese Language
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In this paper we present a semantic role labeling system submitted to the task Multi-level Semantic Annotation of Catalan and Spanish in the context of SemEval-2007. The core of the system is a memory-based classifier that makes use of full syntactic information. Building on standard features, we train two classifiers to predict separately the semantic class of the verb and the semantic roles.