发明名称 |
Relevance recognition for a human machine dialog system contextual question answering based on a normalization of the length of the user input |
摘要 |
Disclosed are systems, methods and computer-readable media for controlling a computing device to provide contextual responses to user inputs. The method comprises receiving a user input, generating a set of features characterizing an association between the user input and a conversation context based on at least a semantic and syntactic analysis of user inputs and system responses, determining with a data-driven machine learning approach whether the user input begins a new topic or is associated with a previous conversation context and if the received question is associated with the existing topic, then generating a response to the user input using information associated with the user input and any previous user input associated with the existing topic, based on a normalization of the length of the user input. |
申请公布号 |
US8639517(B2) |
申请公布日期 |
2014.01.28 |
申请号 |
US201213524714 |
申请日期 |
2012.06.15 |
申请人 |
DI FABBRIZIO GIUSEPPE;FENG JUNLAN;AT&T INTELLECTUAL PROPERTY II, L.P. |
发明人 |
DI FABBRIZIO GIUSEPPE;FENG JUNLAN |
分类号 |
G10L15/22;G06F17/28;G10L15/14;G10L15/26 |
主分类号 |
G10L15/22 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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