Using decision trees to select the grammatical relation of a noun phrase
نویسنده
چکیده
Abs t rac t We present a machine-learning approach to modeling the distribution of noun phrases (NPs) within clauses with respect to a finegrained taxonomy of grammatical relations. We demonstrate that a cluster of superficial linguistic features can function as a proxy for more abstract discourse features that are not observable using state-of-the-art natural language processing. The models constructed for actual texts can be used to select among alternative linguistic expressions of the same propositional content when generating discourse.
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