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Title
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From neighborhood to parenthood : the advantages of dependency representation over bigrams in Brown clustering
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Author
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Abstract
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| We present an effective modification of the popular Brown et al. 1992 word clustering algorithm, using a dependency language model. By leveraging syntax-based context, resulting clusters are better when evaluated against a wordnet for Dutch. The improvements are stable across parameters such as number of clusters, minimum frequency and granularity. Further refinement is possible through dependency relation selection. Our approach achieves a desired clustering quality with less data, resulting in a decrease in cluster creation times. |
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Language
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English
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Source (book)
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Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers
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Publication
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2014
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ISBN
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978-1-941643-26-6
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Volume/pages
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p. 1382-1391
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Full text (publisher's version - intranet only)
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