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    • 1. 发明授权
    • Expression detecting system, an expression detecting method and a program
    • 表达检测系统,表达检测方法和程序
    • US07546310B2
    • 2009-06-09
    • US11273924
    • 2005-11-14
    • Yuta TsuboiHiroshi KanayamaTetsuya NasukawaHideo Watanabe
    • Yuta TsuboiHiroshi KanayamaTetsuya NasukawaHideo Watanabe
    • G06F7/00
    • G06F17/277G06F17/2775G06Q30/02Y10S707/99943Y10S707/99945
    • A system and method for detecting preference expressions indicating evaluators' likes and dislikes of a product from evaluations of the product and stores text describing evaluation of the product in association with an attribute of the text. The method extracts an evaluating expression describing evaluation of the specific object from each of the texts, determines whether the extracted evaluating expression has positive or negative polarity, where the positive indicates favorable evaluation and the negative indicates unfavorable evaluation. The system inputs a text attribute that is designated as an object for detecting the preference expression and detects an evaluating expression, which is detected from a text having an input attribute from the extracted evaluating expressions as one of the preference expressions and outputs the preference expressions in association with a frequency of the preference expressions being determined to have the positive or negative polarity in the text having the attribute.
    • 一种用于检测偏好表达的系统和方法,所述偏好表达指示评估者对产品的喜好和不喜欢从对产品的评估和存储描述与文本的属性相关联的产品的评估的文本。 该方法从每个文本中提取描述特定对象的评估的评估表达式,确定提取的评估表达式是正极还是负极性,其中正表示有利评价,否则表示不利评价。 系统输入被指定为用于检测偏好表达式的对象的文本属性,并检测从具有来自提取的评估表达式的具有输入属性的文本中检测到的评估表达式作为偏好表达式之一,并将偏好表达式输出 与偏好表达式的频率的关联被确定为在具有该属性的文本中具有正极性或负极性。
    • 5. 发明申请
    • Expression detecting system, an expression detecting method and a program
    • 表达检测系统,表达检测方法和程序
    • US20060112134A1
    • 2006-05-25
    • US11273924
    • 2005-11-14
    • Yuta TsuboiHiroshi KanayamaTetsuya NasukawaHideo Watanabe
    • Yuta TsuboiHiroshi KanayamaTetsuya NasukawaHideo Watanabe
    • G06F7/00
    • G06F17/277G06F17/2775G06Q30/02Y10S707/99943Y10S707/99945
    • A system, method, and program product to correctly detect a preference expression indicating persons' likes and dislikes of a commercial product or the like. Specifically, the expression detecting system for detecting preference expressions indicating evaluators' likes and dislikes of a specific object from texts describing evaluation of the specific object, and stores each of the texts describing evaluation of a specific object in association with an attribute of the text. The method extracts an evaluating expression describing evaluation of the specific object from each of the texts; determines whether the extracted evaluating expression has positive polarity or negative polarity, where the positive polarity indicates favorable evaluation of the specific object and the negative polarity indicates unfavorable evaluation of the specific object. The system then inputs a text attribute that is designated as an object for detecting the preference expressions; and detects an evaluating expression, which is detected from a text having an input attribute from the extracted evaluating expressions as one of the preference expressions and outputs the preference expressions in association with a frequency of the preference expressions being determined to have the positive polarity or the negative polarity in the text having the attribute.
    • 一种系统,方法和程序产品,用于正确地检测表示商业产品的喜好和不喜欢的偏好表达等。 具体地,表示检测系统用于从描述特定对象的评估的文本中检测指示评估者对特定对象的喜好和不喜欢的偏好表达,并且存储描述与文本的属性相关联的特定对象的评估的每个文本。 该方法从每个文本中提取描述特定对象的评估的评估表达; 确定提取的评估表达式是否具有正极性或负极性,其中正极性表示特定对象的有利评估,负极性表示特定对象的不利评估。 然后,系统输入被指定为用于检测偏好表达式的对象的文本属性; 并且检测从具有来自所提取的评估表达式的具有输入属性的文本中检测到的评估表达式作为所述偏好表达式之一,并且输出与所述偏好表达式的频率相关联的所述偏好表达式被确定为具有正极性或 具有属性的文本中的负极性。
    • 6. 发明授权
    • Method, apparatus, and program product for processing product evaluations
    • 用于处理产品评估的方法,设备和程序产品
    • US08140438B2
    • 2012-03-20
    • US11595407
    • 2006-11-09
    • Tetsuya NasukawaHideo Watanabe
    • Tetsuya NasukawaHideo Watanabe
    • G06Q30/00
    • G06Q30/02G06Q30/0251G06Q30/0256
    • A technique for determining a match between a character string including an evaluation and product information stored in a storage device and including a feature description of a product. The character string includes a name of an evaluation object to be evaluated and an evaluation expression representing the evaluation of the evaluation object. The matching method includes a first determining step of determining from the evaluation object and the evaluation expression whether the evaluation expression represents a positive evaluation of the evaluation object or a negative evaluation of the evaluation object; and a second determining step of determining, when the evaluation expression represents a positive evaluation of the evaluation object, if the evaluation expression is included in a feature description of a product, the product to be a matched product, and if the evaluation expression is not included in a feature description of a product, the product to be a mismatched product.
    • 一种用于确定包括评估的字符串和存储在存储设备中的产品信息之间的匹配并包括产品的特征描述的技术。 字符串包括要评估的评估对象的名称和表示评估对象的评估的评估表达式。 匹配方法包括:第一确定步骤,根据评估对象和评估表达来确定评估表达式是评估对象的肯定评估还是评估对象的否定评估; 以及第二确定步骤,当所述评价表达式表示所述评估对象的肯定评价时,如果所述评估表达式包括在产品的特征描述中,则所述产品作为匹配产品,并且如果所述评估表达式不是 包括在产品的功能描述中,产品是不匹配的产品。
    • 7. 发明申请
    • SYSTEM, METHOD, AND PROGRAM FOR SELECTING ADVERTISEMENTS
    • 用于选择广告的系统,方法和程序
    • US20080262927A1
    • 2008-10-23
    • US12104626
    • 2008-04-17
    • Hiroshi KanayamaTetsuya NasukawaRisa NishiyamaHideo Watanabe
    • Hiroshi KanayamaTetsuya NasukawaRisa NishiyamaHideo Watanabe
    • G06Q30/00
    • G06Q30/02G06Q30/0256G06Q30/0277
    • A system, a method, and a program for selecting advertisements for displaying advertisements associated with content when the content is sent via communication means such as the Internet. Providing suppression of the appearance of an advertisement on the internet when one role label, “Victimizer”, “Victim” or “Beneficiary” is systematically assigned to a corresponding thing referred to in the article: a company, a person, or a product. The advertisement selection mechanism controls suppression of the appearance of advertisements associated with such role labels and can calculate the affinity or linkage between an article and the advertisement as a value. The suppression of the advertisement occurs by subtracting the value of the affinity. The degree of suppression by role labels is preferentially decreased over time.
    • 一种系统,方法和程序,用于当经由诸如因特网之类的通信装置发送内容时,选择用于显示与内容相关联的广告的广告。 当将一个角色标签“受害者”,“受害者”或“受益人”系统地分配给文章中提到的相应事物:公司,个人或产品时,抑制互联网上广告的外观。 广告选择机制控制与这样的角色标签相关联的广告的外观的抑制,并且可以计算文章和广告之间的亲和力或者连接作为一个值。 通过减去亲和度的值来发生广告的抑制。 角色标签的抑制程度优先随时间而减少。
    • 8. 发明申请
    • Method, apparatus, and program product for processing product evaluations
    • 用于处理产品评估的方法,设备和程序产品
    • US20070162397A1
    • 2007-07-12
    • US11595407
    • 2006-11-09
    • Tetsuya NasukawaHideo Watanabe
    • Tetsuya NasukawaHideo Watanabe
    • G06Q99/00
    • G06Q30/02G06Q30/0251G06Q30/0256
    • A technique for determining a match between a character string including an evaluation and product information stored in a storage device and including a feature description of a product. The character string includes a name of an evaluation object to be evaluated and an evaluation expression representing the evaluation of the evaluation object. The matching method includes a first determining step of determining from the evaluation object and the evaluation expression whether the evaluation expression represents a positive evaluation of the evaluation object or a negative evaluation of the evaluation object; and a second determining step of determining, when the evaluation expression represents a positive evaluation of the evaluation object, if the evaluation expression is included in a feature description of a product, the product to be a matched product, and if the evaluation expression is not included in a feature description of a product, the product to be a mismatched product.
    • 一种用于确定包括评估的字符串和存储在存储设备中的产品信息之间的匹配并包括产品的特征描述的技术。 字符串包括要评估的评估对象的名称和表示评估对象的评估的评估表达式。 匹配方法包括:第一确定步骤,根据评估对象和评估表达来确定评估表达式是评估对象的肯定评估还是评估对象的否定评估; 以及第二确定步骤,当所述评价表达式表示所述评估对象的肯定评价时,如果所述评估表达式包括在产品的特征描述中,则所述产品作为匹配产品,并且如果所述评估表达式不是 包括在产品的功能描述中,产品是不匹配的产品。
    • 10. 发明申请
    • METHOD FOR AUTOMATICALLY IDENTIFYING SENTENCE BOUNDARIES IN NOISY CONVERSATIONAL DATA
    • 自动识别语音对话数据中的声界边界的方法
    • US20090063150A1
    • 2009-03-05
    • US11845462
    • 2007-08-27
    • Tetsuya NasukawaDiwakar PunjaniShourya RoyL. Venkata SubramaniamHironori Takeuchi
    • Tetsuya NasukawaDiwakar PunjaniShourya RoyL. Venkata SubramaniamHironori Takeuchi
    • G10L15/04
    • G10L15/26
    • Sentence boundaries in noisy conversational transcription data are automatically identified. Noise and transcription symbols are removed, and a training set is formed with sentence boundaries marked based on long silences or on manual markings in the transcribed data. Frequencies of head and tail n-grams that occur at the beginning and ending of sentences are determined from the training set. N-grams that occur a significant number of times in the middle of sentences in relation to their occurrences at the beginning or ending of sentences are filtered out. A boundary is marked before every head n-gram and after every tail n-gram occurring in the conversational data and remaining after filtering. Turns are identified. A boundary is marked after each turn, unless the turn ends with an impermissible tail word or is an incomplete turn. The marked boundaries in the conversational data identify sentence boundaries.
    • 嘈杂会话转录数据中的句子边界自动识别。 删除噪声和转录符号,并且形成一个训练集,其中以基于长期沉默或手写标记的转录数据标记的句子边界。 从训练集确定在句子的开头和结尾出现的头和尾n-gram的频率。 在句子中间出现相当于句子开头或结尾的出现次数的N-gram被过滤掉。 在每个头n-gram之前和之后的每个尾部n-gram出现在对话数据中并且在过滤之后保留边界。 确认车辙。 每转后,边界都会被标记出来,除非转弯以不允许的尾字结束,或者是不完整的转弯。 会话数据中的标记边界识别句子边界。