发明名称 SYSTEMS AND METHODS FOR LEARNING SEMANTIC PATTERNS FROM TEXTUAL DATA
摘要 In some embodiments, a system is provided comprising at least one processor programmed to process an input text to identify a plurality of semantic patterns that match the input text, wherein, for at least one semantic pattern of the plurality of semantic patterns: the at least one semantic pattern comprises a plurality of semantic entities identified from the at least one input text, and the plurality of semantic entities occur in a common context within the at least one input text. The at least one processor may be further programmed to use statistical information derived from training data to associate a respective weight with each semantic pattern of the plurality of semantic patterns.
申请公布号 WO2016200902(A2) 申请公布日期 2016.12.15
申请号 WO2016US36395 申请日期 2016.06.08
申请人 NUANCE COMMUNICATIONS, INC. 发明人 CURIN, Jan
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