QUESTION ANSWERING SYSTEM AND METHOD FOR STRUCTURED KNOWLEDGEBASE USING DEEP NATUAL LANGUAGE QUESTION ANALYSIS
    1.
    发明申请
    QUESTION ANSWERING SYSTEM AND METHOD FOR STRUCTURED KNOWLEDGEBASE USING DEEP NATUAL LANGUAGE QUESTION ANALYSIS 有权
    使用深度自然语言问题分析的结构化知识库的问题解答系统和方法

    公开(公告)号:US20160147737A1

    公开(公告)日:2016-05-26

    申请号:US14932604

    申请日:2015-11-04

    Abstract: Disclosed are a question answering system for structured knowledgebase using deep natural language question analysis, and a method thereof, the question answering system for structured knowledgebase using deep natural language question analysis includes a deep natural language question analysis unit configured to create a structure of a semantic frame by analyzing a natural language question that is input, a question-intermediate expression creation unit configured to create a question-intermediate expression of a lexicon level based on the semantic frame, a knowledgebase-specialized query creation unit configured to create a query used to search in knowledgebase that is a subject of search, based on the question-intermediate expression, and a knowledgebase search unit configured to find a correct answer in the knowledgebase that is subject of search based on the query, to provide an accuracy of the correct answer, a confidence of the correct answer and an evidence for the correct answer.

    Abstract translation: 公开了使用深层自然语言问题分析的结构化知识库的问答系统及其方法,使用深层自然语言问题分析的结构化知识库的问答系统包括深层自然语言问题分析单元,其被配置为创建语义的结构 通过分析输入的自然语言问题,构造成基于所述语义帧创建词典级的问题中间表达式的问题中间表达式创建单元,所述知识库专用查询创建单元被配置为创建用于 在基于问题中间表达的搜索主题的知识库中搜索知识库搜索单元,以及知识库搜索单元,其被配置为在基于查询的搜索对象的知识库中找到正确的答案,以提供正确答案的准确性 对正确回答的信心和正确答案的证据 呃

    SYSTEM AND METHOD FOR CONSTRUCTING MORPHEME DICTIONARY BASED ON AUTOMATIC EXTRACTION OF NON-REGISTERED WORD
    2.
    发明申请
    SYSTEM AND METHOD FOR CONSTRUCTING MORPHEME DICTIONARY BASED ON AUTOMATIC EXTRACTION OF NON-REGISTERED WORD 审中-公开
    基于自动提取非注册字的系统和方法构建词法

    公开(公告)号:US20160132485A1

    公开(公告)日:2016-05-12

    申请号:US14939016

    申请日:2015-11-12

    CPC classification number: G06F17/2735 G06F17/2755 G06F17/277

    Abstract: A system and method for constructing a morpheme dictionary based on an automatic extraction of a non-registered word is provided. A non-registered word is automatically extracted based on a language-independent non-registered word automatic extraction method, and performance of a dictionary and a morpheme analysis is verified based on an automatic estimation by constructing a morpheme dictionary based on the automatically extracted non-registered word. Since the morpheme dictionary is constructed using only a dictionary in which a final verification is passed and it is helpful to improve the performance, the morpheme analysis can be properly performed on the non-registered word of a new field or a new word which newly appears as time passes.

    Abstract translation: 提供了一种基于自动提取非注册字来构建语素字典的系统和方法。 基于与语言无关的非注册字自动提取方法自动提取未注册的字,并且基于自动估计,基于自动提取的非自动提取的非自动提取的非自动提取方法来验证词典和语素分析的性能, 注册字。 由于语素字典仅使用通过最终验证的字典构建,并且有助于提高性能,因此可以对新字段的非注册字或新出现的新词适当地执行语素分析 随着时间流逝。

    APPARATUS AND METHOD FOR ANALYZING EVENT TIME-SPACE CORRELATION IN SOCIAL WEB MEDIA
    6.
    发明申请
    APPARATUS AND METHOD FOR ANALYZING EVENT TIME-SPACE CORRELATION IN SOCIAL WEB MEDIA 审中-公开
    用于分析社会网络媒体中事件时空相关性的装置和方法

    公开(公告)号:US20150142780A1

    公开(公告)日:2015-05-21

    申请号:US14255410

    申请日:2014-04-17

    CPC classification number: G06F16/338 G06F16/313 G06F16/9535 G06F16/9537

    Abstract: Provided are an apparatus for analyzing an event time-space correlation in a social web media and an operating method thereof. The apparatus includes a collection unit configured to collect a text type of document data from the social web media, a storage unit configured to store an event keyword indicating an event and event-related information including event time-space information corresponding to the event keyword, an extraction unit configured to linguistically analyze the document data to extract the event keyword and the event-related information associated with the event keyword from the document data based on a result of the linguistic analysis, and an output unit configured to receive the event keyword and event-related information and convert the received event keyword and event-related information into visual information and output the visual information.

    Abstract translation: 提供了一种用于分析社交网络媒体中的事件时空相关性的装置及其操作方法。 所述装置包括:收集单元,其被配置为从所述社交网络媒体收集文本类型的文档数据;存储单元,被配置为存储指示事件的事件关键字以及包括与所述事件关键字对应的事件时空信息的事件相关信息, 提取单元,被配置为基于所述语言分析的结果来语言分析所述文档数据以从所述文档数据中提取与所述事件关键字相关联的事件关键字和事件相关信息;以及输出单元,被配置为接收所述事件关键字,以及 事件相关信息,并将接收到的事件关键字和事件相关信息转换为视觉信息并输出视觉信息。

    SYSTEM AND METHOD FOR ANSWERING NATURAL LANGUAGE QUESTION
    10.
    发明申请
    SYSTEM AND METHOD FOR ANSWERING NATURAL LANGUAGE QUESTION 审中-公开
    用于解答自然语言问题的系统和方法

    公开(公告)号:US20160140187A1

    公开(公告)日:2016-05-19

    申请号:US14737130

    申请日:2015-06-11

    Abstract: Provided are a system and method for answering a natural language question which show improved information retrieval performance. The system includes an index unit configured to analyze text of previously stored irregular documents and classify and index the irregular documents according to meanings of sentences or paragraphs, a database configured to receive and store the irregular documents indexed according to the meanings and transmitted from the index unit, a retrieval unit configured to extract an index word by semantically analyzing an input question and search the database for documents related to the extracted index word, and a provision unit configured to generate a correct answer to the question by analyzing the documents searched by the retrieval unit and provide the search results and the correct answer.

    Abstract translation: 提供了一种用于回答显示改进的信息检索性能的自然语言问题的系统和方法。 该系统包括:索引单元,被配置为分析先前存储的不规则文档的文本,并根据句子或段落的含义对不规则文档进行分类和索引;数据库,被配置为接收和存储根据含义索引的不规则文档,并从索引发送 单元,检索单元,被配置为通过语义分析输入问题来提取索引词,并在数据库中搜索与所提取的索引词相关的文档;以及提供单元,被配置为通过分析由所提取的索引词搜索的文档来生成对问题的正确答案 检索单元并提供搜索结果和正确答案。

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