Abstract
In this paper, we present a new language-independent method to build VerbNet-based lexical resources. As a proof of concept, we show the use of this method to build a VerbNet-style lexicon for Brazilian Portuguese. The resulting resource was built semi-automatically by using existing lexical resources for English and Portuguese and knowledge extracted from corpora. The results achieved around 60% of f-measure when compared with a gold standard for Brazilian Portuguese, which is also described in this paper. The method proposed here also outperformed state-of-art machine learning method (verb clustering) by around 20% of f-measure.
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Scarton, C., Sanches Duran, M., Aluísio, S.M. (2014). Using Cross-Linguistic Knowledge to Build VerbNet-Style Lexicons: Results for a (Brazilian) Portuguese VerbNet. In: Baptista, J., Mamede, N., Candeias, S., Paraboni, I., Pardo, T.A.S., Volpe Nunes, M.d.G. (eds) Computational Processing of the Portuguese Language. PROPOR 2014. Lecture Notes in Computer Science(), vol 8775. Springer, Cham. https://doi.org/10.1007/978-3-319-09761-9_15
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DOI: https://doi.org/10.1007/978-3-319-09761-9_15
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