公开(公告)号：WO2016004266A3

公开(公告)日：2016-03-10

申请号：PCT/US2015038923

申请日：2015-07-02

Applicant: MICROSOFT TECHNOLOGY LICENSING LLC

Inventor： WILLIAMS JASON ,  ZWEIG GEOFFREY ,  LAKSHMIRATAN APARNA ,  SUAREZ CARLOS GARCIA JURADO

IPC: G10L15/22 ,  G06F17/27

CPC classification number: G06F3/167 ,  G06F17/279 ,  G06F17/30654 ,  G10L15/1822 ,  G10L15/22 ,  G10L2015/223 ,  G10L2015/226

Abstract: Conversational interactions between humans and computer systems can be provided by a computer system that classifies an input by conversation type, and provides human authored responses for conversation types. The input classification can be performed using trained binary classifiers. Training can be performed by labeling inputs as either positive or negative examples of a conversation type. Conversational responses can be authored by the same individuals that label the inputs used in training the classifiers. In some cases, the process of training classifiers can result in a suggestion of a new conversation type, for which human authors can label inputs for a new classifier and write content for responses for that new conversation type.

Abstract translation: 人与计算机系统之间的对话交互可以由计算机系统提供，该系统通过会话类型对输入进行分类，并为会话类型提供人类创作的响应。 可以使用训练有素的二进制分类器来执行输入分类。 可以通过将输入标记为会话类型的正或负例来进行培训。 会话响应可以由标记用于训练分类器的输入的相同个体编写。 在某些情况下，训练分类器的过程可能会导致一种新的对话类型的建议，为此人类作者可以为新的分类器标记输入，并为该新对话类型的响应写入内容。