System, method and program product for interactive natural dialog
    1.
    发明授权
    System, method and program product for interactive natural dialog 有权
    用于交互式自然对话的系统,方法和程序产品

    公开(公告)号:US06829603B1

    公开(公告)日:2004-12-07

    申请号:US09496615

    申请日:2000-02-02

    IPC分类号: G06F1730

    摘要: This patent describes a novel system, method, and program product that are used in interactive natural language dialog. One or more presentation managers operating on a computer system present information from the computer system to one or more users over network interface(s) and accept queries from the users using one or more known input/output modalities (e.g. Speech, typed in text, pointing devices, etc.). A natural language parser parses one or more natural language phrases received over one or more of the network interfaces by one or more of the presentation managers into one or more logical forms (parsed user input), each logical form having a grammatical and structural organization. A dialog manager module maintains and directs interactive sessions between each of the users and the computer system. The dialog manager receives logical forms from one or more of the presentation managers and sends these to a taxonomical mapping process which matches the items of interest to the user against the content organization in the content database to match business categories and sends modified logical forms back to the dialog manager.

    摘要翻译: 该专利描述了在交互式自然语言对话中使用的新颖的系统,方法和程序产品。 在计算机系统上操作的一个或多个演示管理器通过网络接口将信息从计算机系统呈现给一个或多个用户,并且使用一个或多个已知的输入/输出模式接收来自用户的查询(例如,以文本形式输入的语音, 指点设备等)。 自然语言解析器通过一个或多个呈现管理器的一个或多个网络接口将一个或多个自然语言短语解析成一个或多个逻辑形式(解析的用户输入),每个逻辑形式具有语法和结构组织。 对话管理器模块维护并指导每个用户和计算机系统之间的交互式会话。 对话管理器从一个或多个呈现管理器接收逻辑形式,并将它们发送到分类映射过程,其将用户对感兴趣的项目与内容数据库中的内容组织进行匹配,以匹配业务类别,并将修改后的逻辑表单发送回 对话管理器。

    System and Method for Finding the Most Likely Answer to a Natural Language Question
    2.
    发明申请
    System and Method for Finding the Most Likely Answer to a Natural Language Question 有权
    找到自然语言最可能的答案的系统和方法问题

    公开(公告)号:US20120189988A1

    公开(公告)日:2012-07-26

    申请号:US13438959

    申请日:2012-04-04

    IPC分类号: G09B19/00

    CPC分类号: G06F17/30654 G06F17/2785

    摘要: Automated question answering is disclosed that relates to the selection of an answer to a question from a pool of potential answers which are manually or automatically extracted from a large collection of textual documents. The a feature extraction component, a feature combination component, an answer selection component, and an answer presentation component, among others, are included. The input to the system is a set of one or more natural language questions and a collection of textual document. The output is a (possibly ranked) set of factual answers to the questions, these answers being extracted from the document collection.

    摘要翻译: 公开了涉及从大量文本文档手动或自动提取的潜在答案池中选择对问题的回答的自动问答。 包括特征提取组件,特征组合组件,应答选择组件和应答呈现组件等。 对系统的输入是一组一个或多个自然语言问题和文本文档的集合。 输出是对问题的(可能排名的)事实答案的集合,这些答案是从文档集合中提取出来的。

    SYSTEM AND METHOD FOR FINDING THE MOST LIKELY ANSWER TO A NATURAL LANGUAGE QUESTION
    3.
    发明申请
    SYSTEM AND METHOD FOR FINDING THE MOST LIKELY ANSWER TO A NATURAL LANGUAGE QUESTION 有权
    用于发现自然语言问题的最有帮助的系统和方法

    公开(公告)号:US20080201132A1

    公开(公告)日:2008-08-21

    申请号:US12110481

    申请日:2008-04-28

    IPC分类号: G06F17/27

    CPC分类号: G06F17/30654 G06F17/2785

    摘要: Automated question answering is disclosed that relates to the selection of an answer to a question from a pool of potential answers which awe manually or automatically extracted from a large collection of textual documents. The a feature extraction component, a feature combination component, an answer selection component, and an answer presentation component, among others, are included. The input to the system is a set of one or more natural language questions and a collection of textual document The output is a (possibly ranked) set of factual answers to the questions, these answers being extracted from the document collection.

    摘要翻译: 披露了自动问题回答,其涉及从大量文本文档的手册或自动提取的潜在答案池中选择对问题的回答。 包括特征提取组件,特征组合组件,应答选择组件和应答呈现组件等。 对系统的输入是一组一个或多个自然语言问题和文本文档的集合输出是对问题的(可能排名的)一组事实答案,这些答案是从文档集合中提取出来的。

    System, method and program product for answering questions using a search engine
    4.
    发明授权
    System, method and program product for answering questions using a search engine 有权
    使用搜索引擎回答问题的系统,方法和程序产品

    公开(公告)号:US06665666B1

    公开(公告)日:2003-12-16

    申请号:US09495645

    申请日:2000-02-01

    IPC分类号: G06F1730

    摘要: The present invention is a system, method, and program product that comprises a computer with a collection of documents to be searched. The documents contain free form (natural language) text. We define a set of labels called QA-Tokens, which function as abstractions of phrases or question-types. We define a pattern file, which consists of a number of pattern records, each of which has a question template, an associated question word pattern, and an associated set of QA-Tokens. We describe a query-analysis process which receives a query as input and matches it to one or more of the question templates, where a priority algorithm determines which match is used if there is more than one. The query-analysis process then replaces the associated question word pattern in the matching query with the associated set of QA-Tokens, and possibly some other words. This results in a processed query having some combination of original query tokens, new tokens from the pattern file, and QA-Tokens, possibly with weights. We describe a pattern-matching process that identifies patterns of text in the document collection and augments the location with corresponding QA-Tokens. We define a text index data structure which is an inverted list of the locations of all of the words in the document collection, together with the locations of all of the augmented QA-Tokens. A search process then matches the processed query against a window of a user-selected number of sentences that is slid across the document texts. A hit-list of top-scoring windows is returned to the user.

    摘要翻译: 本发明是一种系统,方法和程序产品,其包括具有要搜索的文档的集合的计算机。 文件包含自由形式(自然语言)文本。 我们定义了一组称为QA-Tokens的标签,它们作为短语或问题类型的抽象。 我们定义一个模式文件,它由多个模式记录组成,每个模式记录都有一个问题模板,一个关联的问题单词模式和一组关联的质量检查标记。 我们描述一个查询分析过程,它接收一个查询作为输入并将其与一个或多个问题模板相匹配,其中优先级算法确定如果存在多个问题模板,则使用哪个匹配。 然后,查询分析过程将匹配查询中的相关问题词模式与相关的QA令牌集合以及可能的其他一些单词替换。 这导致处理的查询具有原始查询令牌,来自模式文件的新令牌和可能具有权重的QA令牌的某些组合。 我们描述了一种模式匹配过程,用于识别文档集合中的文本模式,并使用相应的QA-Token来增加位置。 我们定义一个文本索引数据结构,它是文档集合中所有单词的位置的反向列表,以及所有增强的质量检查令牌的位置。 然后,搜索过程将处理的查询与用户选择的句子数目的窗口匹配,该窗口在文档文本上滑动。 顶级评分窗口的命中列表将返回给用户。

    System and method for finding the most likely answer to a natural language question
    5.
    发明授权
    System and method for finding the most likely answer to a natural language question 有权
    发现自然语言问题最可能的答案的系统和方法

    公开(公告)号:US08340955B2

    公开(公告)日:2012-12-25

    申请号:US12110481

    申请日:2008-04-28

    IPC分类号: G06F17/27

    CPC分类号: G06F17/30654 G06F17/2785

    摘要: Automated question answering is disclosed that relates to the selection of an answer to a question from a pool of potential answers which are manually or automatically extracted from a large collection of textual documents. The a feature extraction component, a feature combination component, an answer selection component, and an answer presentation component, among others, are included. The input to the system is a set of one or more natural language questions and a collection of textual document The output is a (possibly ranked) set of factual answers to the questions, these answers being extracted from the document collection.

    摘要翻译: 公开了涉及从大量文本文档手动或自动提取的潜在答案池中选择对问题的回答的自动问答。 包括特征提取组件,特征组合组件,应答选择组件和应答呈现组件等。 对系统的输入是一组一个或多个自然语言问题和文本文档的集合输出是对问题的(可能排名的)一组事实答案,这些答案是从文档集合中提取出来的。