Abstract
WordNet has become an important and useful resource for the natural language processing field. Recently, many countries have been developing their own WordNet. In this paper we show an evaluation of the Korean WordNet (U-WIN). The purpose of the work is to study how well the manually created lexical taxonomy U-WIN is built. Evaluation is done level by level, and the reason for selecting words for each level is that we want to compare each level and to find relations between them. As a result the words at a certain level (level 6) give the best score, for which we can make a conclusion that the words at this level are better organized than those at other levels. The score decreases as the level goes up or down from this particular level.
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Chagnaa, A., Choe, HS., Ock, CY., Yoon, HM. (2007). On the Evaluation of Korean WordNet. In: Matoušek, V., Mautner, P. (eds) Text, Speech and Dialogue. TSD 2007. Lecture Notes in Computer Science(), vol 4629. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74628-7_18
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DOI: https://doi.org/10.1007/978-3-540-74628-7_18
Publisher Name: Springer, Berlin, Heidelberg
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