An Integrated Natural Language Processing Approach for Conversation System

نویسندگان

  • Zhi Teng
  • Ye Liu
  • Fuji Ren
چکیده

The main aim of this research is to investigate a novel technique for implementing a more natural and intelligent conversation system. Conversation systems are designed to converse like a human as much as their intelligent allows. Sometimes, we can think that they are the embodiment of Turing’s vision. It usually to return a predetermined answer in a predetermined order, but conversations abound with uncertainties of various kinds. This research will focus on an integrated natural language processing approach. This approach includes an integrated knowledge-base construction module, a conversation understanding and generator module, and a state manager module. We discuss effectiveness of this approach based on an experiment. Keywords—Conversation System; integrated knowledge-base construction; conversation understanding and generator; state manager.

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تاریخ انتشار 2009