Abstract
The paper presents an algorithm of the automated wordnet expansion which can utilise results produced by both pattern-based and Distributional Similarity methods. It is based on the assumption that all relation extraction methods express some error, so we cannot identify the exact place (synset) for a new lemma on their bases, but an area (a wordnet subgraph). Support for a particular attachment point generated by knowledge should be expanded on the surrounding synsets. Moreover, the wordnet structure is modelled on the level of links between lexical units. Evaluation of the algorithm and comparison with top algorithm from literature in large scale experiments on Princeton WordNet is presented.
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Piasecki, M., Kurc, R., Ramocki, R., Broda, B. (2012). Lexical Activation Area Attachment Algorithm for Wordnet Expansion. In: Ramsay, A., Agre, G. (eds) Artificial Intelligence: Methodology, Systems, and Applications. AIMSA 2012. Lecture Notes in Computer Science(), vol 7557. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33185-5_3
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DOI: https://doi.org/10.1007/978-3-642-33185-5_3
Publisher Name: Springer, Berlin, Heidelberg
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