We present a nearest-neighbor algorithm for resolving prepositional phrase attachment ambiguities. Its performance is significantly higher than previous corpus-based methods for PP-attachment that do not rely on manually constructed knowledge bases. We will also show that the PP-attachment task provides a way to evaluate methods for computing distributional word similarities. Our experiments indicate that the cosine of pointwise mutual information vector is a significantly better similarity measure than several other commonly used similarity measures. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Zhao, S., & Lin, D. (2005). A nearest-neighbor method for resolving PP-attachment ambiguity. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 3248, pp. 545–554). Springer Verlag. https://doi.org/10.1007/978-3-540-30211-7_58
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