Abstract
The WordNet Weaver application supports extension of a new wordnet. One of its functions is to suggest lexical units semantically close to a given unit. Suggestions arise from activation-area attachment - multi-criteria voting based on several algorithms that score semantic relatedness. We present the contributing algorithms and the method of combining them. Starting from a manually constructed core wordnet and a list of over 1000 units to add, we observed a linguist at work. © 2009 Springer Berlin Heidelberg.
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CITATION STYLE
Piaseeki, M., Broda, B., Marcińczuk, M., & Szpakowicz, S. (2009). The wordNet weaver: Multi-criteria voting for semi-automatic extension of a wordnet. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5549 LNAI, pp. 237–240). https://doi.org/10.1007/978-3-642-01818-3_32
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