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GENERATING METHOD OF APPROPRIATE GREETING SENTENCES FOR CONVERSATION BASED ON THE SITUATION

机译:基于情境的会话适当问候句的生成方法

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摘要

Greeting conversation plays an important part in smoothing oral communications. In the present paper, we describe a method of increase the number of appropriate greeting sentences for conversation and selecting sentences based on the situation by machine. We herein propose an intelligent greeting processing by which a machine generates various reply sentences automatically by obtaining information about the surrounding state and then generating the best conversation response based on the situation. Using the method described herein, we show that the proposed method increased the accuracy of greeting sentences to 84% and increased the number of greeting sentences to 23,891 sentences from 803 model sentences. Moreover, the technique used to select an appropriate sentence based on the situation was able to achieve an accuracy of 80.6%. When the situation was not considered, the accuracy was 10%. Thus, the proposed method is shown to be effective.
机译:问候语对话在促进口头交流中起着重要作用。在本文中,我们描述了一种增加适当的用于对话的问候句子的数量并根据机器的情况选择句子的方法。我们在此提出一种智能的问候语处理,通过该处理,机器会通过获取有关周围状态的信息,然后根据情况生成最佳的会话响应,来自动生成各种答复语句。使用本文所述的方法,我们表明,所提出的方法将问候句子的准确性从803个模型句子提高到84%,并将问候句子的数量增加到23,891个句子。此外,用于根据情况选择合适句子的技术能够达到80.6%的准确性。如果不考虑这种情况,则准确性为10%。因此,所提出的方法被证明是有效的。

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