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31. 发明申请

US20150161117A1 ANALYZING DOCUMENT CONTENT AND GENERATING AN APPENDIX 审中-公开
标题翻译：分析文件内容并生成附件
公开(公告)号：US20150161117A1
公开(公告)日：2015-06-11
申请号：US14474353
申请日：2014-09-02
申请人： International Business Machines Corporation
发明人： Anand B. Bhagwat , Amit P. Bohra , Krishna Kummamuru , Abhishek Shivkumar
IPC分类号： G06F17/30 , G06F17/21 , G06F17/24 , G06F17/22
CPC分类号： G06F17/211 , G06F17/2217 , G06F17/27 , G06F17/2745 , G06F17/30011 , G06F17/30539
摘要： A method for generating an appendix from document content is provided. Included is analyzing a structure of a document to identify at least one logical element in a content of a page of the document; identifying at least one relation within the identified at least one logical element to determine an appendix topic; determining a degree of relevance of the at least one relation identifying the appendix topic; extracting an appendix content from at least one source document, based on determining a relevance of the source document to the appendix topic; and formatting the appendix based on the extracted appendix content.
摘要翻译：提供了一种从文档内容生成附录的方法。包括分析文档的结构以识别文档的页面的内容中的至少一个逻辑元素; 识别所识别的至少一个逻辑元件内的至少一个关系以确定附录主题; 确定识别附录主题的至少一个关系的相关程度; 基于确定源文档与附录主题的相关性，从至少一个源文档中提取附录内容; 并根据提取的附录内容格式化附录。

32. 发明申请

US20150095770A1 METHOD AND APPARATUS FOR AUTOMATICALLY SUMMARIZING THE CONTENTS OF ELECTRONIC DOCUMENTS 有权
标题翻译：自动总结电子文件内容的方法与装置
公开(公告)号：US20150095770A1
公开(公告)日：2015-04-02
申请号：US14348830
申请日：2012-09-11
申请人： Inderjeet Mani , Eugenio Ciurana , Nicholas D'Aloisio-Montilla , Bart K. Swanson
发明人： Inderjeet Mani , Eugenio Ciurana , Nicholas D'Aloisio-Montilla , Bart K. Swanson
IPC分类号： G06F17/30 , G06N99/00 , G06F17/22
CPC分类号： G06F17/30011 , G06F17/22 , G06F17/2745 , G06F17/30719 , G06N99/005
摘要： One embodiment of a method for summarizing an electronic document includes splitting the electronic document into a plurality of terms, wherein each of the plurality of terms is associated with a respective length, a respective informativeness score, and a respective coherence score, automatically selecting a subset of the plurality of terms, such that an aggregate informativeness score of the subset is maximized while an aggregate length of the subset is less than or equal to a maximum length, and arranging the subset as a summary of the electronic document.
摘要翻译：用于总结电子文档的方法的一个实施例包括将电子文档分割成多个术语，其中多个术语中的每一个与相应的长度相关联，相应的信息评分和相应的一致性得分自动选择子集使得所述子集的聚合信息度得分最大化，而所述子集的聚合长度小于或等于最大长度，并且将所述子集排列为所述电子文档的摘要。

33. 发明申请

US20150081611A1 METHOD AND SYSTEM FOR PRESENTING PERSONALIZED CONTENT 审中-公开
标题翻译：提供个性化内容的方法和系统
公开(公告)号：US20150081611A1
公开(公告)日：2015-03-19
申请号：US14489410
申请日：2014-09-17
申请人： Infosys Limited
发明人： Shailesh Kumar Shivakumar
IPC分类号： G06N5/02
CPC分类号： G06F17/2745 , G06F17/211 , G06F17/30867
摘要： Content personalized for a user is presented. Particularly, content is personalized and presented to a user in a more cognitive and user-understandable manner to improve the impact and the effectiveness on the user. The system utilizes artificial intelligence to analyze and categorize the content and thereby learns to discover the core concept of the content and any patterns involved. The system also understands the user's interests by capturing the preferred presentation formats and the user's past knowledge. The system maps the categorized content and user's interests and personalizes the content and renders into user preferred presentation type and format. The system supplements the main presentation type with additional related content. The system is capable of continuously monitoring the user activities to understand the effectiveness of the presented content type and formats, and feedback is exploited to continuous improvement of presented content and presentation type and formats.
摘要翻译：呈现为用户个性化的内容。特别地，内容被个性化并且以更认知和用户可理解的方式呈现给用户，以改善对用户的影响和有效性。该系统利用人工智能来分析和分类内容，从而学习发现内容的核心概念和涉及的任何模式。该系统还通过捕获优选的表示格式和用户的过去知识来了解用户的兴趣。系统映射分类内容和用户兴趣，并对内容进行个性化，并呈现为用户首选的演示文稿类型和格式。该系统补充了主要的演示文稿类型和附加的相关内容。该系统能够持续监控用户活动，以了解所呈现的内容类型和格式的有效性，并且利用反馈来持续改进所呈现的内容和呈现类型和格式。

34. 发明授权

US08935260B2 Document key phrase extraction method 有权
标题翻译：文献关键词提取方法
公开(公告)号：US08935260B2
公开(公告)日：2015-01-13
申请号：US13264806
申请日：2009-05-12
申请人： Bao-Yao Zhou , Ping Luo , Sheng-Wen Yang , Yuhong Xiong , Wei Liu
发明人： Bao-Yao Zhou , Ping Luo , Sheng-Wen Yang , Yuhong Xiong , Wei Liu
IPC分类号： G06F17/30 , G06F17/27
CPC分类号： G06F17/2705 , G06F17/2745 , G06F17/30327 , G06F17/30961 , G06N5/022
摘要： A computer-implemented method of extracting key phrases from a document is disclosed comprising the steps of accessing a repository comprising linked subjects, the repository comprising first and second data structures representing the relationship between said subjects using different representation criteria; pruning the first data structure by removing links between subjects based on a further relationship between said subjects in the second data structure; matching phrases in said document to subjects in the pruned first data structure; further pruning the pruned first data structure by removing unmatched subjects that are not linked to matched subjects; determining a ranking for each matched subject; and selecting key phrases using the determined subject rankings. A computer program for implementing the steps of this method when executed on a computer is also disclosed.
摘要翻译：公开了一种从文档中提取关键短语的计算机实现的方法，包括以下步骤：访问包含链接对象的存储库，所述存储库包括表示使用不同表示标准的所述对象之间的关系的第一和第二数据结构; 基于所述第二数据结构中的所述对象之间的进一步关系，通过去除主体之间的链接来修剪第一数据结构; 将所述文档中的短语与修剪的第一数据结构中的对象匹配; 通过删除与匹配对象无关的不匹配的主题，进一步修剪已修剪的第一个数据结构; 确定每个匹配对象的排名; 并使用确定的受试者排名选择关键短语。还公开了一种用于在计算机上执行时实现该方法的步骤的计算机程序。

35. 发明申请

US20150006160A1 BUSINESS INTELLIGENCE DATA MODELS WITH CONCEPT IDENTIFICATION USING LANGUAGE-SPECIFIC CLUES 有权
标题翻译：具有语言特征的概念识别的业务智能数据模型
公开(公告)号：US20150006160A1
公开(公告)日：2015-01-01
申请号：US14489251
申请日：2014-09-17
申请人： International Business Machines Corporation
发明人： Robin N. Grosset , Mohsen M. Rais-Ghasem , Graham A. Watts , Qing Wei
IPC分类号： G06F17/27 , G06F17/28
CPC分类号： G06F17/2745 , G06F17/2785 , G06F17/28 , G06F17/30707
摘要： Techniques are described for modeling information from a data source. In one example, a method for modeling information from a data source includes comparing, with one or more computing devices, a data item heading from the data source with concept keywords in a concept library, the concept library comprising a plurality of concepts and one or more of the concept keywords in at least one language associated with each of one or more of the concepts. The method further includes identifying, with one or more computing devices, one or more matches between the data item heading and one or more concept keywords associated with a particular concept from among the concepts comprised in the concept library. The method further includes identifying, with one or more computing devices, the data item heading as being associated with the particular concept.
摘要翻译：描述了从数据源建模信息的技术。在一个示例中，用于从数据源建模信息的方法包括将一个或多个计算设备与来自数据源的数据项标题与概念库中的概念关键字进行比较，所述概念库包括多个概念，一个或多个概念至少一种与一个或多个概念中的每一个相关联的语言中的更多概念关键字。该方法还包括使用一个或多个计算设备，从概念库中包含的概念中识别数据项标题与与特定概念相关联的一个或多个概念关键字之间的一个或多个匹配。该方法还包括使用一个或多个计算设备将数据项标题识别为与特定概念相关联。

36. 发明申请

US20140173425A1 PRESENTING DOCUMENTS TO A USER BASED ON TOPICS AND COLLECTIVE OPINIONS EXPRESSED IN THE DOCUMENTS 有权
标题翻译：根据文件中表达的主题和集体意见向用户提供文件
公开(公告)号：US20140173425A1
公开(公告)日：2014-06-19
申请号：US13717151
申请日：2012-12-17
申请人： HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.
发明人： Joshua Hailpern , Bernardo Huberman
IPC分类号： G06F17/24
CPC分类号： G06F17/24 , G06F17/2745 , G06F17/30705
摘要： A content platform for presenting documents to a user based on topics and collective opinions expressed in the documents is disclosed. The content platform mines a corpus of documents to identify a set of topics and analyzes each document in the corpus of documents to determine a set of opinions associated with the set of topics. The corpus of documents is presented to the user based on the set of topics and the set of opinions. Each document in the corpus of documents is visually modified to focus the user's attention on the set of opinions associated with the set of topics.
摘要翻译：披露了基于文件中表达的主题和集体意见向用户呈现文档的内容平台。内容平台采用文档语料库来识别一组主题，并对文档语料库中的每个文档进行分析，以确定与该组主题相关联的一组意见。基于一组主题和一组意见，向用户呈现文档语料库。视觉上修改了文件语料库中的每个文档，以将用户的注意力集中在与该组主题相关联的一组意见上。

37. 发明申请

US20140136963A1 INTELLIGENT INFORMATION SUMMARIZATION AND DISPLAY 审中-公开
标题翻译：智能信息概述和显示
公开(公告)号：US20140136963A1
公开(公告)日：2014-05-15
申请号：US14079106
申请日：2013-11-13
申请人： Steve Xi Chen
发明人： Steve Xi Chen
IPC分类号： G06F17/21
CPC分类号： G06F17/2745
摘要： Information summarization and display systems and methods are provided herein. A method includes receiving informational content from an informational content provider, the informational content comprising textual content, extracting the textual content from the informational content; analyzing words in the textual content as well as their relative positions in the textual content to determine one or more key topics for the textual content, extracting one or more sentences from the textual content that are most indicative of the one or more key topics, and generating a graphical user interface that includes a summary display.
摘要翻译：本文提供信息摘要和显示系统和方法。一种方法包括从信息内容提供者接收信息内容，信息内容包括文本内容，从信息内容中提取文本内容; 分析文本内容中的单词以及其在文本内容中的相对位置以确定文本内容的一个或多个关键主题，从文本内容中提取最能指示一个或多个关键主题的一个或多个句子，以及生成包括摘要显示的图形用户界面。

38. 发明申请

US20140075278A1 SPREADSHEET SCHEMA EXTRACTION 审中-公开
公开(公告)号：US20140075278A1
公开(公告)日：2014-03-13
申请号：US13611258
申请日：2012-09-12
申请人： Mihaela A. Bornea , Songyun Duan , Achille B. Fokoue-Nkoutche , Anastasios Kementsietsidis , Kavitha Srinivas , Michael J. Ward
发明人： Mihaela A. Bornea , Songyun Duan , Achille B. Fokoue-Nkoutche , Anastasios Kementsietsidis , Kavitha Srinivas , Michael J. Ward
IPC分类号： G06F17/00
CPC分类号： G06F17/2745 , G06F17/246
摘要： Aspects of the present invention provide a tool for extracting schema from a spreadsheet. In an embodiment, a set of data that is stored in an uncataloged tabular format, such as a spreadsheet, is retrieved. The structure of the retrieved set of data is surveyed to determine the dataset schema thereof. Then, data elements within the dataset schema are analyzed to obtain information regarding the data elements. Based on dataset schema and the element information, an interface can be constructed that allows remote access to the set of data.
摘要翻译：本发明的各方面提供了用于从电子表格中提取模式的工具。在一个实施例中，检索以非催化表格格式存储的一组数据，例如电子表格。检索检索到的数据集的结构以确定其数据集模式。然后，分析数据集模式中的数据元素以获得有关数据元素的信息。基于数据集模式和元素信息，可以构造允许远程访问数据集的接口。

39. 发明授权

US08626801B2 Extraction of attributes and values from natural language documents 有权
标题翻译：从自然语言文件中提取属性和值
公开(公告)号：US08626801B2
公开(公告)日：2014-01-07
申请号：US13197906
申请日：2011-08-04
申请人： Katharina Probst , Rayid Ghani , Andrew E. Fano , Marko Krema , Yan Liu
发明人： Katharina Probst , Rayid Ghani , Andrew E. Fano , Marko Krema , Yan Liu
IPC分类号： G06F17/30
CPC分类号： G06F17/27 , G06F17/2745
摘要： One or more classification algorithms are applied to at least one natural language document in order to extract both attributes and values of a given product. Supervised classification algorithms, semi-supervised classification algorithms, unsupervised classification algorithms or combinations of such classification algorithms may be employed for this purpose. The at least one natural language document may be obtained via a public communication network. Two or more attributes (or two or more values) thus identified may be merged to form one or more attribute phrases or value phrases. Once attributes and values have been extracted in this manner, association or linking operations may be performed to establish attribute-value pairs that are descriptive of the product. In a presently preferred embodiment, an (unsupervised) algorithm is used to generate seed attributes and values which can then support a supervised or semi-supervised classification algorithm.
摘要翻译：一个或多个分类算法被应用于至少一个自然语言文档，以便提取给定产品的属性和值。为此，可以采用监督分类算法，半监督分类算法，无监督分类算法或这种分类算法的组合。可以经由公共通信网络获得至少一个自然语言文档。如此识别的两个或多个属性（或两个或多个值）可以被合并以形成一个或多个属性短语或值短语。一旦以这种方式提取了属性和值，就可以执行关联或链接操作来建立描述产品的属性值对。在当前优选的实施例中，（无监督）算法用于生成种子属性和值，然后可以支持受监督或半监督分类算法。

40. 发明申请

US20140006014A1 COMPUTER SYSTEM FOR AUTOMATICALLY COMBINING REFERENCE INDICIA TO A COMMON NOUN DIFFERENTIATED BY ADJECTIVES IN A DOCUMENT 有权
标题翻译：用于自动组合参考指标的计算机系统与文件中的对象不同的常见NOUN
公开(公告)号：US20140006014A1
公开(公告)日：2014-01-02
申请号：US14015217
申请日：2013-08-30
申请人： Harold W. Milton, JR.
发明人： Harold W. Milton, JR. , Jacob Allen
IPC分类号： G06F17/28
CPC分类号： G06F17/28 , G06F17/241 , G06F17/2745
摘要： A computer system for preparing a document which includes multiple elements having a common noun and being differentiated by a reference indicia with each combination of primary and secondary adjectives by automatically scanning the document for each combination of the primary and secondary adjectives and inserting all of the reference indicia following the common noun in response to a scanning processor detecting the occurrence of the common noun unmodified by an adjective to reference the unmodified common noun with all of the reference indicia for the elements throughout the document without attaching the reference indicia to occurrences of the common noun modified by one of the adjectives.
摘要翻译：一种用于准备文档的计算机系统，其包括具有共同名词的多个元素，并且通过主要和次要形容词的每个组合通过参考标记来区分，通过自动扫描主要和次要形容词的每个组合的文档并插入所有参考文献标记在响应于扫描处理器的普通名词之后，检测未形成的修饰的公用名词的出现，以引用整个文献中的元素的所有参考标记，而不将参考标记附加到公共部分的出现由其中一个形容词修饰的名词。

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