Resolving PP attachment Ambiguities with Memory-Based Learning
نویسندگان
چکیده
In this paper we describe the application of Memory Based Learning to the problem of Prepositional Phrase attachment disam biguation We compare Memory Based Learning which stores examples in mem ory and generalizes by using intelligent sim ilarity metrics with a number of recently proposed statistical methods that are well suited to large numbers of features We evaluate our methods on a common bench mark dataset and show that our method compares favorably to previous methods and is well suited to incorporating vari ous unconventional representations of word patterns such as value di erence metrics and Lexical Space
منابع مشابه
CoNLL 1997 , Madrid , 136 - 144 , 1997 Resolving PP attachment Ambiguities with Memory
In this paper we describe the application of Memory-Based Learning to the problem of Prepositional Phrase attachment disam-biguation. We compare Memory-Based Learning, which stores examples in memory and generalizes by using intelligent similarity metrics, with a number of recently proposed statistical methods that are well suited to large numbers of features. We evaluate our methods on a commo...
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