Abstract
The paper presents an algorithm of automatic wordnet expansion on the basis of heterogeneous knowledge sources extracted from a large corpus. The algorithm is the reformulation of the algorithm used in the WordnetWeaver system in terms of the SOM model. Integration of knowledge sources is based on the weighted voting scheme. Several wordnet relations are explored to define attachment points for a new word. Influence of different knowledge sources on the algorithm performance was experimentally investigated. The new version presents better precision than the previous one. © 2011 Springer Berlin Heidelberg.
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CITATION STYLE
Piasecki, M., Kurc, R., & Broda, B. (2011). Heterogeneous knowledge sources in graph-based expansion of the polish wordnet. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6591 LNAI, pp. 307–316). Springer Verlag. https://doi.org/10.1007/978-3-642-20039-7_31
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