Abstract
Most frequent sense (MFS) is a very powerful heuristic in word sense disambiguation, extremely difficult to outperform with sophisticated methods. We show that counting the number of words, characters, or relationships of a word’s sense definitions allows guessing the most frequent sense of the word: the MFS usually has a longer gloss, more examples of usage, and more relationships with other words (synonyms, hyponyms, etc.). In addition, we show that this effect is resource-dependent, making some algorithms to perform differently with different dictionaries.
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Calvo, H., Gelbukh, A. (2014). Finding the Most Frequent Sense of a Word by the Length of Its Definition. In: Gelbukh, A., Espinoza, F.C., Galicia-Haro, S.N. (eds) Human-Inspired Computing and Its Applications. MICAI 2014. Lecture Notes in Computer Science(), vol 8856. Springer, Cham. https://doi.org/10.1007/978-3-319-13647-9_1
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DOI: https://doi.org/10.1007/978-3-319-13647-9_1
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13646-2
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