This paper presents an approach for automatically validating candidate hierarchical relations extracted from parallel enumerative structures. It relies on the discursive properties of these structures and on the combination of resources of different nature, a semantic network and a distributional resource. The results show an accuracy of between 0.50 and 0.67, with a gain of 0.11 when combining the two resources.
CITATION STYLE
Kamel, M., & Trojahn, C. (2016). Taking advantage of discursive properties for validating hierarchical semantic relations from parallel enumerative structures. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9989 LNCS, pp. 74–78). Springer Verlag. https://doi.org/10.1007/978-3-319-47602-5_16
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