Joining Forces for Multiword Expression Identification

Zilio, Leonardo;Wilkens, Rodrigo;Möllmann, Luís;Wehrli, Eric;Villavicencio, Aline;et.al.
(2016) Proceedings of the 12th International Conference on Computational Processing of the Portuguese Language — ISBN: [9783319415512], 233-238, published

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Authors
  • Wilkens, Rodrigo
    Author
  • Möllmann, Luís
    Author
  • Wehrli, Eric
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  • Villavicencio, Aline
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Abstract
Multiword Expressions (MWEs) display some kind of linguistic and statistical markedness that may influence the effectiveness of techniques that automatically identify them in texts. While parsing-based techniques for MWE identification are considered to be better at handling long-distance dependencies, passivization and internal modification, statistics-based techniques use association measures to detect statistical markedness regardless of syntactic form. In this paper we compare these two approaches focusing on nominal compounds in Portuguese. We compare the accuracy of each method and propose that combining the strengths of both for increased accuracy.
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Citations

Zilio, L., Wilkens, R., Möllmann, L., Wehrli, E., Cordeiro, S., & Villavicencio, A. (2016). Joining Forces for Multiword Expression Identification. In João Silva, Ricardo Ribeiro, Paulo Quaresma, André Adami, António Branco (ed.), Proceedings of the 12th International Conference on Computational Processing of the Portuguese Language (pp. 233-238). Springer International Publishing. https://doi.org/10.1007/978-3-319-41552-9_23