This paper proposes the use of ensemble learning for the identification of taxonomic relations between Modern Greek economic terms. Unlike previous approaches, apart from is-a and part-of relations, the present work deals also with relation types that are characteristic of the economic domain. Semantic and syntactic information governing the term pairs is encoded in a novel feature-vector representation. Ensemble learning helps overcome the problem of performance instability and leads to more accurate predictions.
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Kermanidis, K.L. (2009). Ensemble Learning of Economic Taxonomy Relations from Modern Greek Corpora. In: Sicilia, MA., Lytras, M.D. (eds) Metadata and Semantics. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-77745-0_22
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DOI: https://doi.org/10.1007/978-0-387-77745-0_22
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