发明名称 |
DETECTING ACTIONABLE ITEMS IN A CONVERSATION AMONG PARTICIPANTS |
摘要 |
A computer-implemented technique is described herein for detecting actionable items in speech. In one manner of operation, the technique entails: receiving utterance information that expresses at least one utterance made by one participant of a conversation to at least one other participant of the conversation; converting the utterance information into recognized speech information; using a machine-trained model to recognize at least one actionable item associated with the recognized speech information; and performing at least one computer-implemented action associated the actionable item(s).The machine-trained model may correspond to a deep-structured convolutional neural network. In some implementations, the technique produces the machine-trained model using a source environment corpus that is not optimally suited for a target environment in which the model is intended to be applied. The technique further provides various adaptation techniques for adapting a source-environment model so that it better suits the target environment. |
申请公布号 |
WO2017053208(A1) |
申请公布日期 |
2017.03.30 |
申请号 |
WO2016US52362 |
申请日期 |
2016.09.17 |
申请人 |
MICROSOFT TECHNOLOGY LICENSING, LLC |
发明人 |
HAKKANI-TUR, Dilek Zeynep;HE, Xiaodong;CHEN, Yun-Nung |
分类号 |
G10L15/22;G06F17/27;G10L15/26 |
主分类号 |
G10L15/22 |
代理机构 |
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