Two-Stage Stochastic Email Synthesizer

نویسندگان

  • Yun-Nung Chen
  • Alexander I. Rudnicky
چکیده

This paper presents the design and implementation details of an email synthesizer using two-stage stochastic natural language generation, where the first stage structures the emails according to sender style and topic structure, and the second stage synthesizes text content based on the particulars of an email structure element and the goals of a given communication for surface realization. The synthesized emails reflect sender style and the intent of communication, which can be further used as synthetic evidence for developing other applications.

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تاریخ انتشار 2014