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Making Tree Kernels Practical for Natural Language LearningIn Proceedings of the 11th Conference of the European Chapter of the Association for Computational Linguistics (2006)
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AbstractIn recent years tree kernels have been proposed for the automatic learning of natural language applications. Unfortunately, they show (a) an inherent super linear complexity and (b) a lower accuracy than traditional attribute/value methods.
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