Semantic Convolution Kernels Over Dependency Trees

@inproceedings{Croce2011SemanticCK,
  title={Semantic Convolution Kernels Over Dependency Trees},
  author={Danilo Croce and Roberto Basili},
  year={2011}
}
In recent years, natural language processing techniques have been used more and more in IR. Among other syntactic and semantic parsing are effective methods for the design of complex applications like for example question answering and sentiment analysis. Unfortunately, extracting feature representations suitable for machine learning algorithms from linguistic structures is typically difficult. In this paper, we describe one of the most advanced piece of technology for automatic engineering of… CONTINUE READING

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