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.
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Piasecki, M., Broda, B., Marcińczuk, M., Szpakowicz, S. (2009). The WordNet Weaver: Multi-criteria Voting for Semi-automatic Extension of a Wordnet. In: Gao, Y., Japkowicz, N. (eds) Advances in Artificial Intelligence. Canadian AI 2009. Lecture Notes in Computer Science(), vol 5549. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01818-3_32
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DOI: https://doi.org/10.1007/978-3-642-01818-3_32
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