Abstract
Causative verbs can assist in the identification of causative relations. Portuguese has a large number of verbs that would make the manual labelling of causative verbs an manually expensive task. This paper presents a classification strategy which uses the characteristics of causative verbs co-occurring with common nouns to classify Brazilian Portuguese verbs as either: causative or non-causative. The strategy constructs a graph where verbs extracted from text are nodes. The verbs are connected if the verbs co-occur with common nouns. The classification strategy uses the unique characteristics of links between: 1. causative verbs, 2. causative verbs and non-causative verbs and 3. non-causative verbs to predict a label (causative or non-causative) for unlabelled verbs. The proposed strategy significantly outperforms a baseline and supervised learning strategies.
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Drury, B., Rossi, R.G., de Andrade Lopes, A. (2014). Identification of Brazilian Portuguese Causative Verbs through a Weighted Graph Classification Strategy. 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_32
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DOI: https://doi.org/10.1007/978-3-319-09761-9_32
Publisher Name: Springer, Cham
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