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.
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Fonseca, E.R., Rosa, J.L.G. (2012). An Architecture for Semantic Role Labeling on Portuguese. In: Caseli, H., Villavicencio, A., Teixeira, A., Perdigão, F. (eds) Computational Processing of the Portuguese Language. PROPOR 2012. Lecture Notes in Computer Science(), vol 7243. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28885-2_23
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DOI: https://doi.org/10.1007/978-3-642-28885-2_23
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