Abstract
In this paper, we focus on various methods for detecting verbal collocations, i.e. verb-particle constructions and light verb constructions in Wikipedia articles. Our results suggest that for verb-particle constructions, POS-tagging and restriction on the particle seem to yield the best result whereas the combination of POS-tagging, syntactic information and restrictions on the nominal and verbal component have the most beneficial effect on identifying light verb constructions. The identification of multiword semantic units can be successfully exploited in several applications in the fields of machine translation or information extraction.
This work was supported in part by the National Innovation Office of the Hungarian government within the framework of the projects BELAMI and MASZEKER.
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Nagy T., I., Vincze, V. (2011). Identifying Verbal Collocations in Wikipedia Articles. In: Habernal, I., Matoušek, V. (eds) Text, Speech and Dialogue. TSD 2011. Lecture Notes in Computer Science(), vol 6836. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23538-2_23
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DOI: https://doi.org/10.1007/978-3-642-23538-2_23
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