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SPIRIT: A Tree Kernel-based Method for Topic Person Interaction Detection

SPIRIT: A Tree Kernel-based Method for Topic Person Interaction Detection

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 SPIRIT: A Tree Kernel-based Method for Topic Person Interaction Detection

 The development of a topic in a set of topic documents is constituted by a series of person interactions at a specific time and place. Knowing the interactions of the persons mentioned in these documents is helpful for readers to better comprehend the documents. In this paper, we propose a topic person interaction detection method called SPIRIT, which classifies the text segments in a set of topic documents that convey person interactions. We design the rich interactive tree structure to represent syntactic, context, and semantic information of text, and this structure is incorporated into a tree-based convolution kernel to identify interactive segments.


 


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  • Model: PROJ7086
  • 999 Units in Stock
  • Manufactured by: ClickMyProjects

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This product was added to our catalog on Friday 02 June, 2017.

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