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公开(公告)号：US08868562B2
公开(公告)日：2014-10-21
申请号：US12201675
申请日：2008-08-29
申请人： Richard S. Crouch , Martin Henk Van Den Berg , David Ahn , Olga Gurevich , Barney D. Pell , Livia Polanyi , Scott A. Prevost , Giovanni Lorenzo Thione
发明人： Richard S. Crouch , Martin Henk Van Den Berg , David Ahn , Olga Gurevich , Barney D. Pell , Livia Polanyi , Scott A. Prevost , Giovanni Lorenzo Thione
CPC分类号： G06F17/30705 , G06F17/30011 , G06F17/30616 , G06F17/30619 , G06F17/30684
摘要： Methods and computer-readable media for associating words or groups of words distilled from content, such as reported speech or an attitude report, of a document to form semantic relationships collectively used to generate a semantic representation of the content are provided. Semantic representations may include elements identified or parsed from a text portion of the content, the elements of which may be associated with other elements that share a semantic relationship, such as an agent, location, or topic relationship. Relationships may also be developed by associating one element that is in relation to, or is about, another element, thereby allowing for rapid and effective comparison of associations found in a semantic representation with associations derived from queries. The semantic relationships may be determined based on semantic information, such as potential meanings and grammatical functions of each element within the text portion of the content.
摘要翻译： 提供了用于将从内容中提取出来的单词或组的组合的方法和计算机可读介质，例如文档的报告语音或态度报告，以形成共同用于生成内容的语义表示的语义关系。 语义表示可以包括从内容的文本部分识别或解析的元素，其元素可以与共享语义关系的其他元素（例如代理，位置或主题关系）相关联。 还可以通过将一个与另一个元素相关或相关的元素相关联来开发关系，从而允许快速有效地将在语义表示中找到的关联与从查询导出的关联进行比较。 可以基于诸如内容的文本部分中的每个元素的潜在含义和语法功能的语义信息来确定语义关系。
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2.发明授权Semi-automatic example-based induction of semantic translation rules to support natural language search 有权基于半自动的基于示例的语义翻译规则的归纳来支持自然语言搜索公开(公告)号：US08041697B2
公开(公告)日：2011-10-18
申请号：US12201066
申请日：2008-08-29
申请人： Emmanuel Rayner , Richard Crouch , Hannah Copperman , Giovanni Lorenzo Thione , Martin Henk Van Den Berg
发明人： Emmanuel Rayner , Richard Crouch , Hannah Copperman , Giovanni Lorenzo Thione , Martin Henk Van Den Berg
IPC分类号： G06F17/30
CPC分类号： G06F17/30663 , G06F17/30616 , G06F17/30684
摘要： Technologies are described herein for generating a semantic translation rule to support natural language search. In one method, a first expression and a second expression are received. A first representation is generated based on the first expression, and a second representation is generated based on the second expression. Aligned pairs of a first term in the first representation and a second term in the second representation are determined. For each aligned pair, the first term and the second term are replaced with a variable associated with the aligned pair. Word facts that occur in both the first representation and the second representation are removed from the first representation and the second representation. The remaining word facts in the first representation are replaced with a broader representation of the word facts. The translation rule including the first representation, an operator, and the second semantic representation is generated.
摘要翻译： 本文描述了用于生成支持自然语言搜索的语义翻译规则的技术。 在一种方法中，接收第一表达式和第二表达式。 基于第一表达式生成第一表示，并且基于第二表达式生成第二表示。 确定第一表示中的第一项和第二表示中的第二项的对齐对。 对于每个对齐的对，第一项和第二项被替换为与对齐对相关的变量。 在第一表示和第二表示中出现的字事实从第一表示和第二表示中移除。 第一个表述中的剩余单词事实被替换为事实一词的更广泛的表示。 生成包括第一表示，运算符和第二语义表示的翻译规则。
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公开(公告)号：US07689645B2
公开(公告)日：2010-03-30
申请号：US11090824
申请日：2005-03-24
IPC分类号： G06F15/16
CPC分类号： G06F17/3089 , H04L12/66
摘要： Techniques are provided to determine service data features from an archive of web service transactions. Data features for functionally identical classes of service are determined. Differentiating data feature patterns uniquely identifying each service within the class are learned using machine learning, clustering, statistical analysis and the like. A service map associating services with the differentiating patterns is determined. The service map contains data feature patterns that differentiate among otherwise functionally identical services. The data features are optionally associated with past usage, objective and subjective service quality measurements and the like. The data features of the received service requests are compared to differentiating patterns in the service map. The service associated with the differentiating patterns matching the data features of the service request is selected. The data features of the service request may include, but document language, document genre, number of words or characters, type of images, subject matter of images and the like.
摘要翻译： 提供技术来从Web服务事务的归档中确定服务数据特征。 确定功能相同的服务类别的数据特征。 使用机器学习，聚类，统计分析等方法，对使用该类别中唯一标识每个服务的数据特征模式进行区分。 确定将服务与区分模式相关联的服务地图。 服务地图包含区分功能相同服务的数据特征模式。 数据特征可选地与过去的使用，客观和主观的服务质量测量等相关联。 将接收的服务请求的数据特征与服务映射中的区分模式进行比较。 选择与匹配服务请求的数据特征的区分模式相关联的服务。 服务请求的数据特征可以包括但是文档语言，文档类型，单词或字符的数量，图像的类型，图像的主题等等。
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公开(公告)号：US20090204620A1
公开(公告)日：2009-08-13
申请号：US12428322
申请日：2009-04-22
CPC分类号： G06F17/24 , G10L15/22 , G10L2015/228 , Y10S707/99936
摘要： Techniques are provided for determining collaborative notes and automatically recognizing speech, handwriting and other type of information. Domain and optional actor/speaker information associated with the support information is determined. An initial automatic speech recognition model is determined based on the domain and/or actor information. The domain and/or actor/speaker language model is used to recognize text in the speech information associated with the support information. Presentation support information such as slides, speaker notes and the like are determined. The semantic overlap between the support information and the salient non-function words in the recognized text and collaborative user feedback information are used to determine relevancy scores for the recognized text. Grammaticality, well formedness, self referential integrity and other features are used to determine correctness scores. Suggested collaborative notes are displayed in the user interface based on the salient non-function words. User actions in the user interface determine feedback signals. Recognition models such as automatic speech recognition, handwriting recognition are determined based on the feedback signals and the correctness and relevance scores.
摘要翻译： 提供了用于确定协作笔记并自动识别语音，手写和其他类型的信息的技术。 确定与支持信息相关联的域和可选演员/扬声器信息。 基于域和/或行为者信息确定初始自动语音识别模型。 域和/或演员/扬声器语言模型用于识别与支持信息相关联的语音信息中的文本。 确定幻灯片，说话者笔记等的演示支援信息。 使用识别文本中的支持信息和显着非函数词之间的语义重叠以及协作用户反馈信息来确定识别文本的相关性得分。 使用语法，良好的形态，自我参照完整性等特征来确定正确性分数。 基于显着的非功能词，建议的协作笔记显示在用户界面中。 用户界面中的用户操作决定了反馈信号。 基于反馈信号和正确性和相关性分数确定自动语音识别，手写识别等识别模型。
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公开(公告)号：US08639708B2
公开(公告)日：2014-01-28
申请号：US12201596
申请日：2008-08-29
申请人： Martin Henk Van Den Berg , Daniel Bobrow , Robert D. Cheslow , Barney Pell , Giovanni Lorenzo Thione , Chad Walters
发明人： Martin Henk Van Den Berg , Daniel Bobrow , Robert D. Cheslow , Barney Pell , Giovanni Lorenzo Thione , Chad Walters
CPC分类号： G06F17/30696 , G06F17/30684
摘要： Computer-readable media and a computer system for implementing a natural language search using fact-based structures and for generating such fact-based structures are provided. A fact-based structure is generated using a semantic structure, which represents information, such as text, from a document, such as a web page. Typically, a natural language parser is used to create a semantic structure of the information, and the parser identifies terms, as well as the relationship between the terms. A fact-based structure of a semantic structure allows for a linear structure of these terms and their relationships to be created, while also maintaining identifiers of the terms to convey the dependency of one fact-based structure on another fact-based structure. Additionally, synonyms and hypernyms are identified while generating the fact-based structure to improve the accuracy of the overall search.
摘要翻译： 提供了计算机可读介质和用于使用基于事实的结构实现自然语言搜索和用于生成这种基于事实的结构的计算机系统。 使用语义结构生成基于事实的结构，该语义结构表示来自诸如网页的文档的诸如文本的信息。 通常，使用自然语言解析器来创建信息的语义结构，并且解析器识别术语以及术语之间的关系。 语义结构的基于事实的结构允许创建这些术语及其关系的线性结构，同时还保留术语的标识符以传达一个基于事实的结构对另一个基于事实的结构的依赖。 此外，在生成基于事实的结构以提高整体搜索的准确性的同时，确定同义词和高词。
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公开(公告)号：US07542971B2
公开(公告)日：2009-06-02
申请号：US10768675
申请日：2004-02-02
CPC分类号： G06F17/24 , G10L15/22 , G10L2015/228 , Y10S707/99936
摘要： Techniques are provided for determining collaborative notes and automatically recognizing speech, handwriting and other type of information. Domain and optional actor/speaker information associated with the support information is determined. An initial automatic speech recognition model is determined based on the domain and/or actor information. The domain and/or actor/speaker language model is used to recognize text in the speech information associated with the support information. Presentation support information such as slides, speaker notes and the like are determined. The semantic overlap between the support information and the salient non-function words in the recognized text and collaborative user feedback information are used to determine relevancy scores for the recognized text. Grammaticality, well formedness, self referential integrity and other features are used to determine correctness scores. Suggested collaborative notes are displayed in the user interface based on the salient non-function words. User actions in the user interface determine feedback signals. Recognition models such as automatic speech recognition, handwriting recognition are determined based on the feedback signals and the correctness and relevance scores.
摘要翻译： 提供了用于确定协作笔记并自动识别语音，手写和其他类型的信息的技术。 确定与支持信息相关联的域和可选演员/扬声器信息。 基于域和/或行为者信息确定初始自动语音识别模型。 域和/或演员/扬声器语言模型用于识别与支持信息相关联的语音信息中的文本。 确定幻灯片，说话者笔记等的演示支援信息。 使用识别文本中的支持信息和显着非函数词之间的语义重叠以及协作用户反馈信息来确定识别文本的相关性得分。 使用语法，良好的形态，自我参照完整性等特征来确定正确性分数。 基于显着的非功能词，建议的协作笔记显示在用户界面中。 用户界面中的用户操作决定了反馈信号。 基于反馈信号和正确性和相关性分数确定识别模型，如自动语音识别，手写识别。
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公开(公告)号：US07092872B2
公开(公告)日：2006-08-15
申请号：US09883345
申请日：2001-06-19
IPC分类号： G06F17/27
CPC分类号： G06F17/30719 , G06F17/277 , G06F17/2775 , G06F17/2785
摘要： A technique for compressing texts such that referential integrity, sentence coherency, punctuation and readability are preserved and which provides for compression of sentence constituents based on the type of content, the informativity of the sentence constituent and the grammatical readability of the resultant sentence or phrase. Information content portions are parsed to generate parts of speech tags. The informativity of the constituents in a phrase or sentence is determined and the parts of speech having lower information content and having a low effect on grammatical readability of the phrase or sentence are selectively compressed. Parts of speech having successively higher informativity and low effect on grammatical readability are selected for compression until the desired level of compression is reached. Compressed portions are indicated in the summary with a selectable placeholder which expands to display the compressed text.
摘要翻译： 一种用于压缩文本的技术，使得参照完整性，句子一致性，标点符号和可读性被保留，并且其基于内容的类型，语句成分的信息性和所得到的句子或短语的语法可读性来提供语法成分的压缩。 解析信息内容部分以产生语音标签的部分。 确定短语或句子中的成分的信息性，并且选择性地压缩具有较低信息含量且对短语或句子的语法可读性影响较小的部分。 选择具有连续更高的信息性和对语法可读性的低影响的语音部分，用于压缩直到达到期望的压缩水平。 压缩部分在摘要中用可选占位符指示，扩展以显示压缩文本。
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公开(公告)号：US07013259B1
公开(公告)日：2006-03-14
申请号：US09609325
申请日：2000-06-30
IPC分类号： G06F17/27
CPC分类号： G06F17/30719 , G06F17/2785 , G09B5/02 , G09B11/00
摘要： A technique for teaching expository writing using a system that provides an objective reader centric microanalysis of the information a writer has conveyed to a virtual reader. The technique uses a theory of discourse analysis such as the Linguistic Discourse Model. Using the technique, a text is segmented into discrete units of meaning of the selected theoretic model. Student analysis and understanding are facilitated by the assignment of types to the discrete units of meaning and by linking the discrete units of meaning into a discourse tree under the constraints imposed by the selected theory. A virtual, or objective, reader centric summary of the information actually conveyed by the text is then compared to the writer designated important concepts and the results conveyed as feedback to the writer.
摘要翻译： 一种使用提供作者向虚拟阅读器传达的信息的客观读者中心微分析的系统来教导说明书写作的技术。 该技术使用话语分析理论，如语言话语模型。 使用该技术，文本被分割成所选理论模型的意义的离散单位。 通过将类型分配给离散的意义单位以及通过所选理论施加的约束将意义的离散单位链接到话语树中来促进学生分析和理解。 然后将文本实际传达的信息的虚拟或客观的读者中心概要与作者指定的重要概念进行比较，并将结果作为对作者的反馈传达。
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9.发明授权Dynamically changing the levels of reading assistance and instruction to support the needs of different individuals 有权动态地改变阅读辅助和指导的水平，以支持不同个人的需求公开(公告)号：US07386453B2
公开(公告)日：2008-06-10
申请号：US09987420
申请日：2001-11-14
IPC分类号： G10L21/00
CPC分类号： G09B17/003 , G10L15/26
摘要： Techniques for dynamic personalized reading instruction at word and sentence level are provided by determining word recognition level and learning gradient information for a user. Comprehension aids are associated with words classified by word recognition level and stored. Word recognition errors are determined, comprehension aids presented and word recognition level adjusted based on determined word recognition errors, learning gradient and current word recognition level. For sentence level dynamic personalized reading instruction personalization information, reading level and learning gradient are determined and a personalized grammatical tunable text summary generated. Based on the personalized grammatical tunable text summary, comprehension questions are generated and displayed. Based on comprehension responses, learning gradient and personalization information, the reading level is adjusted. Personalized reading instruction is provided by selectively changing display attributes of more salient information to help a user identify the important information in the sentence and to maintain fluid reading.
摘要翻译： 通过确定用户的单词识别级别和学习梯度信息，提供了词和句级动态个性化阅读指令的技术。 理解辅助与单词识别级别分类并存储的单词相关联。 确定词识别错误，基于确定的词识别误差，学习梯度和当前单词识别水平来调整理解辅助和单词识别水平。 对于句级动态个性化阅读指导个性化信息，阅读水平和学习梯度被确定并产生个性化的语法可调文本摘要。 基于个性化语法可调文本摘要，生成并显示理解问题。 基于理解反应，学习梯度和个性化信息，调整阅读水平。 通过选择性地改变更显着的信息的显示属性来帮助用户识别句子中的重要信息并维持流体读数来提供个性化阅读指令。
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10.发明授权System and method for teaching second language writing skills using the linguistic discourse model 有权使用语言话语模型教授第二语言写作技巧的系统和方法公开(公告)号：US06866510B2
公开(公告)日：2005-03-15
申请号：US09742449
申请日：2000-12-22
CPC分类号： G06F17/274
摘要： A technique for teaching second language writing skills provides for analyzing a user text. The user text is analyzed and compared to a writing culture. The differences between the user text and the writing culture are identified. The identified differences are compared to linguistic flaw information previously compiled from other second language texts written by first language writers in the writing culture. Identified differences that are found in the linguistic flaw information store are used to retrieve contextually relevant corrections and comments for addressing the identified flaws based on the first and second language and writing culture.
摘要翻译： 教授第二语言写作技巧的技术提供了分析用户文本。 用户文本被分析并与写作文化进行比较。 识别用户文本和写作文化之间的差异。 将识别出的差异与以前由第一语言作家在写作文化中编写的其他第二语言文本编纂的语言缺陷信息进行比较。 在语言缺陷信息存储中发现的识别出的差异被用于根据第一语言和第二语言和写作文化来检索与上下文相关的修正和注释以解决所识别的缺陷。
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