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Automatic labeling of semantic roles
Computational Linguistics
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COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
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EMNLP '03 Proceedings of the 2003 conference on Empirical methods in natural language processing
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CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
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CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
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CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Semantic Role Labeling
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Currently there are increasingly more private and academic publications in the form of digital content on the Internet making extremely difficult to extract and maintain the content information manually. Normally, these tasks follow approximations based on natural language processing. This paper presents a preliminary approach for obtaining a semantic role labeler for Portuguese, a little explored aspect of natural language processing for this language. The approach was evaluated for the 3 most frequent semantic roles (relation, subject and object) with a subset of Bosque 8.0 corpus. The same approach was applied to an English corpus --- the CONLL'2004 one and its results were compared to the ones obtained on the CONLL'2004 shared task. At the same time it presents BosqueUE, a Portuguese corpus for semantic role labeling that can be the basis material for future research in the area. This corpus has the same format as the CONLL'2004 one, facilitating multi-language evaluations.