SYSTEM AND METHOD FOR NATURAL LANGUAGE DRIVEN SEARCH AND DISCOVERY IN LARGE DATA SOURCES
    1.
    发明申请
    SYSTEM AND METHOD FOR NATURAL LANGUAGE DRIVEN SEARCH AND DISCOVERY IN LARGE DATA SOURCES 审中-公开
    自动语言的系统和方法在大数据源中搜索和发现

    公开(公告)号:US20170026705A1

    公开(公告)日:2017-01-26

    申请号:US14808354

    申请日:2015-07-24

    摘要: Presenting natural-language-understanding (NLU) results can include redundancies and awkward sentence structures. In an embodiment of the present invention, a method includes, responsive to receiving a result to a NLU query, loading a matching template of a plurality of templates stored in a memory. Each template has mask fields associated with at least one property. The method compares the properties of the mask fields of each of the templates to properties of the query and properties of the result, and selects the matching template. The method further completes the matching template by inserting fields of the result into corresponding mask fields of the matching template. The method may further suppress certain mask fields of the matching template to increase brevity and improve the naturalness of the response when appropriate based on the results of the NLU query. The method further presents the completed matching template to a user via a display.

    摘要翻译: 呈现自然语言理解(NLU)的结果可能包括冗余和尴尬的句子结构。 在本发明的实施例中,一种方法包括响应于将结果接收到NLU查询,加载存储在存储器中的多个模板的匹配模板。 每个模板都有与至少一个属性相关联的掩码字段。 该方法将每个模板的掩码字段的属性与查询的属性和结果的属性进行比较,并选择匹配的模板。 该方法通过将结果的字段插入匹配模板的相应掩码字段来进一步完成匹配模板。 该方法可以基于NLU查询的结果进一步抑制匹配模板的某些掩码字段以增加简洁度并且在适当时提高响应的自然度。 该方法还通过显示器向用户呈现完成的匹配模板。

    SYSTEM AND METHOD FOR NATURAL LANGUAGE DRIVEN SEARCH AND DISCOVERY IN LARGE DATA SOURCES
    2.
    发明申请
    SYSTEM AND METHOD FOR NATURAL LANGUAGE DRIVEN SEARCH AND DISCOVERY IN LARGE DATA SOURCES 审中-公开
    自动语言的系统和方法在大数据源中搜索和发现

    公开(公告)号:US20170024465A1

    公开(公告)日:2017-01-26

    申请号:US14808349

    申请日:2015-07-24

    IPC分类号: G06F17/30 G10L15/04 G06F17/27

    CPC分类号: G10L25/54 G10L15/00

    摘要: In some natural language understanding (NLU) applications, results may not be tailored to the user's query. In an embodiment of the present invention, a method includes tagging elements of automated speech recognition (ASR) data based on an ontology stored in a memory. The method further includes indexing tagged elements to an entity of the ontology. The method further includes generating a logical form of the ASR data based on the tagged elements and the indexed entities. The method further includes mapping the logical form to a query to a respective corresponding database stored in the memory. The method further includes issuing the query to the respective corresponding databases. The method further includes presenting results of the query to the user via a display or a voice response system.

    摘要翻译: 在某些自然语言理解(NLU)应用程序中,结果可能不适合用户的查询。 在本发明的实施例中,一种方法包括基于存储在存储器中的本体来标记自动语音识别(ASR)数据的元素。 该方法还包括将标记的元素索引到本体的实体。 该方法还包括基于标记的元素和索引的实体生成ASR数据的逻辑形式。 该方法还包括将逻辑表单映射到查询到存储在存储器中的相应对应的数据库。 该方法还包括向相应的相应数据库发出查询。 该方法还包括经由显示器或语音响应系统向用户呈现查询的结果。