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- W2079629183 abstract "Many methods are available for computing semantic similarity between individual words, but certain NLP tasks require the comparison of word pairs. This paper presents a kernel-based framework for application to relational reasoning tasks of this kind. The model presented here combines information about two distinct types of word pair similarity: lexical similarity and relational similarity. We present an efficient and flexible technique for implementing relational similarity and show the effectiveness of combining lexical and relational models by demonstrating state-of-the-art results on a compound noun interpretation task." @default.
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- W2079629183 date "2009-01-01" @default.
- W2079629183 modified "2023-09-27" @default.
- W2079629183 title "Using lexical and relational similarity to classify semantic relations" @default.
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- W2079629183 doi "https://doi.org/10.3115/1609067.1609136" @default.
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