An architecture for semantic role labeling on portuguese

Authors:
Erick Rocha Fonseca;João Luís G. Rosa
Affiliations:
Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, São Carlos, Brazil;Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, São Carlos, Brazil
Venue:
PROPOR'12 Proceedings of the 10th international conference on Computational Processing of the Portuguese Language
Year:
2012

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Abstract

We present an adaptation of the architeture of the system SENNA, which performs various NLP tasks, to Portuguese, considering the richly inflected morphology of the language. We propose to separate words in lemmas and their flexional attributes. We point out the major problems that could arise from this approach as well as their potential solutions. This architecture can greatly benefit from the use of unlabeled data, which is especially good considering the small amounts of labeled resources in Portuguese.