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    • 53. 发明授权
    • Automated call router for business directory using the world wide web
    • 使用万维网的企业目录的自动呼叫路由器
    • US08090084B2
    • 2012-01-03
    • US11194842
    • 2005-08-01
    • Junlan FengMazin GilbertNarendra GuptaGerald Karam
    • Junlan FengMazin GilbertNarendra GuptaGerald Karam
    • H04M11/00H04M1/64G06F3/048
    • H04M3/4931H04M7/003
    • The embodiments include a system and a method for establishing a communication connection after searching the World Wide Web. The system can include a first communication device for forming at least one communication connection between the first communication device and a second communication device, search means adapted to accept a query, access means can be adapted to search and identify relevant phone number information using the query, and create at least one icon to link the first communication device to a relevant phone number included in the relevant phone number information identified by the query, and reformulate the query if no relevant phone numbers are identified during the search. The system also includes click-to-dial means adapted to establish at least one communication connection from the first communication device to the second communication device.
    • 这些实施例包括在搜索万维网之后建立通信连接的系统和方法。 该系统可以包括用于在第一通信设备和第二通信设备之间形成至少一个通信连接的第一通信设备,适于接受查询的搜索设备,访问设备可以适于使用查询来搜索和标识相关的电话号码信息 ,并且创建至少一个图标以将第一通信设备链接到由查询所标识的相关电话号码信息中包括的相关电话号码,并且如果在搜索期间没有识别出相关的电话号码,则重新组织查询。 该系统还包括适于建立从第一通信设备到第二通信设备的至少一个通信连接的点击拨号装置。
    • 57. 发明申请
    • SYSTEM AND METHOD USING A DISCRIMINATIVE LEARNING APPROACH FOR QUESTION ANSWERING
    • 使用解决学习方法的问题解答的系统和方法
    • US20090070311A1
    • 2009-03-12
    • US11851817
    • 2007-09-07
    • Junlan Feng
    • Junlan Feng
    • G06F17/30
    • G06F17/30654
    • Disclosed are systems, methods, and computer readable media for answers to natural language questions. The method embodiment comprises training a lexical association model between a question and a first set of one or more possible answers, training a semantic association model between a question and a second set of one or more possible answers, receiving a user question containing at least one query word, parsing the user question syntactically and semantically, formulating a query from the parsed user question containing at least one query word, expanding the query based on the lexical association model and the semantic association model, weighting the at least one query word according to its importance when answering the user question, and returning an answer based on the weighted at least one query word, the lexical association model, and the semantic association model. Other features include using question-answer pairs mined to train the models and returning a plurality of answers in an order based on the lexical association model and the semantic association model.
    • 公开了用于解答自然语言问题的系统,方法和计算机可读介质。 该方法实施例包括训练问题与一个或多个可能答案的第一组之间的词汇关联模型,训练问题与第二组一个或多个可能答案之间的语义关联模型,接收包含至少一个 查询词,在语法和语义上解析用户问题,从包含至少一个查询词的解析的用户问题中制定查询,基于词法关联模型和语义关联模型扩展查询,根据所述语义关联模型加权至少一个查询词 其在回答用户问题时的重要性,并且基于加权的至少一个查询词,词法关联模型和语义关联模型返回答案。 其他特征包括使用挖掘的问答对来训练模型并且基于词法关联模型和语义关联模型以顺序返回多个答案。