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Dialog Prediction Using Lexical and Semantic Features

机译:使用词汇和语义特征的对话框预测

摘要

The present invention provides a method for identifying a turn, such as a sentence or phrase, for addition to a platform dialog comprising a plurality of turns. Lexical features of each of a set of candidate turns relative to one or more turns in the platform dialog are determined. Semantic features associated with each candidate turn and associated with the platform dialog are determined to identify one or more topics associated with each candidate turn and with the platform dialog. Lexical features of each candidate turn are compared to lexical features of the platform dialog and semantic features associated with each candidate turn are compared to semantic features of the platform dialog to rank the candidate turns based on similarity of lexical features and semantic features of each candidate turn to lexical features and semantic features of the platform dialog.
机译:本发明提供了一种用于识别诸如句子或短语之类的转弯的方法,以添加到包括多个转弯的平台对话中。确定相对于平台对话框中一个或多个转弯的一组候选转弯的每一个的词法特征。确定与每个候选回合相关联并与平台对话相关联的语义特征,以识别与每个候选回合以及与平台对话相关联的一个或多个主题。将每个候选回合的词汇特征与平台对话的词汇特征进行比较,并将与每个候选回合关联的语义特征与平台对话的语义特征进行比较,以基于每个候选回合的词汇特征和语义特征的相似性对候选回合进行排名平台对话的词汇特征和语义特征。

著录项

  • 公开/公告号US2010217592A1

    专利类型

  • 公开/公告日2010-08-26

    原文格式PDF

  • 申请/专利权人 RAKESH GUPTA;LEV-ARIE RATINOV;

    申请/专利号US20090579251

  • 发明设计人 RAKESH GUPTA;LEV-ARIE RATINOV;

    申请日2009-10-14

  • 分类号G10L15;G10L15/04;

  • 国家 US

  • 入库时间 2022-08-21 18:54:43

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