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1. 发明申请

US20110179049A1 Automatic Aggregation Across Data Stores and Content Types 审中-公开
标题翻译：跨数据存储和内容类型的自动聚合
公开(公告)号：US20110179049A1
公开(公告)日：2011-07-21
申请号：US12818667
申请日：2010-06-18
申请人： Nicholas Caldwell , Venkat Pradeep Chilakamarri , Saliha Azzam , Yizheng Cai , Michael Calcagno , Benjamin Edward Childs , Arun Chitrapu , Steven Dimmick , Michael Gamon , Bernhard SJ Kohlmeier , Shiun-Zu Kuo , Jonathan C. Ludwig , Kimberly Manis , Courtney Anne O'Keefe , Diego Perez Del Carpio , Tu Huy Phan , Kevin Powell , Jignesh Shah , Ashish Sharma , Paulus Willem ter Horst , Mukta Pramod Walvekar , Ye-Yi Wang
发明人： Nicholas Caldwell , Venkat Pradeep Chilakamarri , Saliha Azzam , Yizheng Cai , Michael Calcagno , Benjamin Edward Childs , Arun Chitrapu , Steven Dimmick , Michael Gamon , Bernhard SJ Kohlmeier , Shiun-Zu Kuo , Jonathan C. Ludwig , Kimberly Manis , Courtney Anne O'Keefe , Diego Perez Del Carpio , Tu Huy Phan , Kevin Powell , Jignesh Shah , Ashish Sharma , Paulus Willem ter Horst , Mukta Pramod Walvekar , Ye-Yi Wang
IPC分类号： G06F17/30
CPC分类号： G06Q10/00
摘要： Project-related data may be aggregated from various data sources, given context, and may be stored in a data repository or organizational knowledge base that may be available to and accessed by others. Documents, emails, contact information, calendar data, social networking data, and any other content that is related to a project may be brought together within a single user interface, irrespective of its data type. A user may organize and understand content, discover relevant information, and act on it without regard to where the information resides or how it was created.
摘要翻译：项目相关数据可以从各种数据源（给定上下文）聚合，并且可以存储在数据存储库或组织知识库中，该数据存储库或组织知识库可被其他人可用和访问。文档，电子邮件，联系信息，日历数据，社交网络数据以及与项目相关的任何其他内容可以在单个用户界面内汇集在一起，而不管其数据类型如何。用户可以组织和理解内容，发现相关信息并对其进行操作，而不考虑信息所在的位置或其创建方式。

2. 发明申请

US20070100604A1 Semantic analysis system for interpreting linguistic structures output by a natural language linguistic analysis system 失效
公开(公告)号：US20070100604A1
公开(公告)日：2007-05-03
申请号：US11641251
申请日：2006-12-19
申请人： Michael Calcagno , Par Jonas Barklund , Lei Zhao , Saliha Azzam , Sonja Knoll , Su Chang
发明人： Michael Calcagno , Par Jonas Barklund , Lei Zhao , Saliha Azzam , Sonja Knoll , Su Chang
IPC分类号： G06F17/27
CPC分类号： G06F17/279 , Y10S707/99942 , Y10S707/99943
摘要： The present invention is a system and method for performing semantic analysis that interprets a linguistic structure output by a natural language linguistic analysis system. The semantic analysis system converts the linguistic output by the natural language linguistic analysis system into a data structure model referred to as a semantic discourse representation structure (SemDRS).

3. 发明申请

US20050210061A1 Rendering tables with natural language commands 有权
标题翻译：使用自然语言命令渲染表
公开(公告)号：US20050210061A1
公开(公告)日：2005-09-22
申请号：US10804815
申请日：2004-03-18
申请人： Su Chang , Ravi Shahani , Michael Calcagno , Robert Stumberger , Nicholas Caldwell , Allan Folting , Charles Ellis
发明人： Su Chang , Ravi Shahani , Michael Calcagno , Robert Stumberger , Nicholas Caldwell , Allan Folting , Charles Ellis
IPC分类号： G06F17/30
CPC分类号： G06F17/30401 , Y10S707/99933 , Y10S707/99943
摘要： The present invention relates to a method of manipulating a software application and processing data stored in a data source. The method includes receiving a natural language input and analyze the natural language input to identify semantic information contained therein. Portions of the natural language input are associated with command objects and entity objects of a schema based on the semantic information and the natural language input. The method also includes rendering data from the data source in a table of columns and rows based on the schema and the associated portions of the natural language input.
摘要翻译：本发明涉及一种操纵软件应用程序和处理存储在数据源中的数据的方法。该方法包括接收自然语言输入并分析自然语言输入以识别其中包含的语义信息。基于语义信息和自然语言输入，自然语言输入的部分与模式的命令对象和实体对象相关联。该方法还包括基于自然语言输入的模式和相关联的部分在列和行的表中呈现来自数据源的数据。

4. 发明授权

US07613719B2 Rendering tables with natural language commands 有权
标题翻译：使用自然语言命令渲染表
公开(公告)号：US07613719B2
公开(公告)日：2009-11-03
申请号：US10804815
申请日：2004-03-18
申请人： Su Chin Chang , Ravi Shahani , Michael Calcagno , Robert Stumberger , Nicholas Caldwell , Allan Folting , Charles David Ellis
发明人： Su Chin Chang , Ravi Shahani , Michael Calcagno , Robert Stumberger , Nicholas Caldwell , Allan Folting , Charles David Ellis
IPC分类号： G06F7/00 , G06F17/30 , G06F17/00 , G06F17/27
CPC分类号： G06F17/30401 , Y10S707/99933 , Y10S707/99943
摘要： The present invention relates to a method of manipulating a software application and processing data stored in a data source. The method includes receiving a natural language input and analyze the natural language input to identify semantic information contained therein. Portions of the natural language input are associated with command objects and entity objects of a schema based on the semantic information and the natural language input. The method also includes rendering data from the data source in a table of columns and rows based on the schema and the associated portions of the natural language input.
摘要翻译：本发明涉及一种操纵软件应用程序和处理存储在数据源中的数据的方法。该方法包括接收自然语言输入并分析自然语言输入以识别其中包含的语义信息。基于语义信息和自然语言输入，自然语言输入的部分与模式的命令对象和实体对象相关联。该方法还包括基于自然语言输入的模式和相关联的部分在列和行的表中呈现来自数据源的数据。

5. 发明申请

US20060047691A1 Creating a document index from a flex- and Yacc-generated named entity recognizer 审中-公开
标题翻译：从flex和Yacc生成的命名实体识别器创建文档索引
公开(公告)号：US20060047691A1
公开(公告)日：2006-03-02
申请号：US10954610
申请日：2004-09-30
申请人： Kevin Humphreys , Michael Calcagno , Kevin Powell
发明人： Kevin Humphreys , Michael Calcagno , Kevin Powell
IPC分类号： G06F17/00
CPC分类号： G06F17/278
摘要： Methods of constructing a document index including named entity information generated by at least one tool associated with parsing computer programs are presented. The methods include using a lexical analyzer generator, e.g. Flex, and/or a parser generator, e.g. Yacc, to generate named entity recognizers. The named entity recognizers are used to identify named entities in documents, in particular, very large document sets such as web pages available on the Internet. The identified named entities are stored as named entity annotations in the document index. Also, methods of performing searches using the document index are presented. The searches are performed based on queries that can be received on an application programming interface (API). Relevant documents are obtained using the named entity annotations, which can be returned across the API. Also presented are associated computer readable media.
摘要翻译：提出了构建包括由与解析计算机程序相关联的至少一个工具生成的命名实体信息的文档索引的方法。这些方法包括使用词法分析器生成器，例如， Flex，和/或解析器生成器，例如。 Yacc，以生成命名实体识别器。命名实体识别器用于识别文档中的命名实体，特别是非常大的文档集，如Internet上可用的网页。识别的命名实体作为命名实体注释存储在文档索引中。此外，呈现使用文档索引执行搜索的方法。搜索是基于可以在应用程序编程接口（API）上接收的查询来执行的。使用命名实体注释获取相关文档，可以通过API返回。还提供了相关联的计算机可读介质。

6. 发明申请

US20050273771A1 Resolvable semantic type and resolvable semantic type resolution 有权
标题翻译：可解析语义类型和可解析语义类型分辨率
公开(公告)号：US20050273771A1
公开(公告)日：2005-12-08
申请号：US10942646
申请日：2004-09-15
申请人： Su Chin Chang , Ravi Shahani , Domenic Cipollone , Michael Calcagno , Mari J.B. Olsen , David Parkinson
发明人： Su Chin Chang , Ravi Shahani , Domenic Cipollone , Michael Calcagno , Mari J.B. Olsen , David Parkinson
IPC分类号： G06F9/45 , G06F17/21 , G06F17/27 , G10L15/18
CPC分类号： G06F17/2785 , G06F8/20 , G06F8/315 , G10L15/18 , G10L15/1815 , Y10S707/99944
摘要： A system for developing natural language enabled software applications is described. Resolvable types define abstract representations of linguistic elements and interrelationships between linguistic elements of a natural language input. Resolution semantics define procedural rules for resolving validity of the resolvable types in a natural language enabled software application.
摘要翻译：描述了一种用于开发支持自然语言的软件应用程序的系统。可解析类型定义了语言元素的抽象表示和自然语言输入的语言元素之间的相互关系。解决方案语义定义了在自然语言启用的软件应用程序中解决可解析类型的有效性的过程规则。

7. 发明申请

US20080033715A1 SYSTEM FOR NORMALIZING A DISCOURSE REPRESENTATION STRUCTURE AND NORMALIZED DATA STRUCTURE 有权
标题翻译：统一代表结构和正则化数据结构的系统
公开(公告)号：US20080033715A1
公开(公告)日：2008-02-07
申请号：US11872435
申请日：2007-10-15
申请人： Par Barklund , Michael Calcagno
发明人： Par Barklund , Michael Calcagno
IPC分类号： G06F17/27
CPC分类号： G06F17/279
摘要： A system and method for normalizing a discourse representation structure (DRS) are provided. The elements of the structure are rewritten and sorted in a way such that structures which may appear different but are nonetheless equivalent can be associated with the same, normalized representation. Various embodiments can also include a data structure for a DRS. The DRS may be represented by an array of boxes, each having a set of elements which in turn has a predefined structure suitable for representing a wide variety of linguistic information.
摘要翻译：提供了一种用于规范语篇表示结构（DRS）的系统和方法。结构的元素被重写和排序，使得可能看起来不同但是等同的结构可以与相同的归一化表示相关联。各种实施例还可以包括用于DRS的数据结构。 DRS可以由一组框来表示，每个框具有一组元素，这些元素又具有适于表示各种各样的语言信息的预定义结构。

8. 发明授权

US07113905B2 Method and apparatus for determining unbounded dependencies during syntactic parsing 有权
公开(公告)号：US07113905B2
公开(公告)日：2006-09-26
申请号：US10028228
申请日：2001-12-20
申请人： David J. Parkinson , Michael Calcagno
发明人： David J. Parkinson , Michael Calcagno
IPC分类号： G06F17/27 , G06F17/28
CPC分类号： G06F17/271
摘要： A method is provided for identifying non-local relationships between licensing elements in a text segment and a word or phrase external to the text segment during a syntactic parse. Under the method, certain syntactic rules for combining words or phrases with text segments indicate that there is a possibility that the word or phrase being combined with the text segment will fill a gap in a relationship within the text segment. Based on this possibility, the text segment is searched to determine if there are any unfilled gaps in the text segment. Under some embodiments, if an unfilled gap is found, the location of the gap and the role the word or phrase plays in the gap are stored in a data structure associated with the syntactic node formed by combining the word or phrase with the text segment.

9. 发明申请

US20050273335A1 Semantic framework for natural language programming 有权
标题翻译：自然语言程序语义框架
公开(公告)号：US20050273335A1
公开(公告)日：2005-12-08
申请号：US10943046
申请日：2004-09-15
申请人： Su Chang , Ravi Shahani , Domenic Cipollone , Michael Calcagno , Mari Olsen , David Parkinson
发明人： Su Chang , Ravi Shahani , Domenic Cipollone , Michael Calcagno , Mari Olsen , David Parkinson
IPC分类号： G06F9/45 , G06F17/21 , G06F17/27 , G10L15/18
CPC分类号： G06F17/2785 , G06F8/20 , G06F8/315 , G10L15/18 , G10L15/1815 , Y10S707/99944
摘要： A framework for generating a semantic interpretation of natural language input includes an interpreter, a first set of types, and a second set of types. The interpreter is adapted to mediate between a client application and one or more analysis engines to produce interpretations of the natural language input that are valid for the client application. The first set of types is adapted to define interactions between the interpreter and the one or more analysis engines. The second set of types is adapted to define interactions between the interpreter and the client application.
摘要翻译：用于生成自然语言输入的语义解释的框架包括解释器，第一组类型和第二组类型。解释器适于在客户端应用程序和一个或多个分析引擎之间进行调解，以产生对客户端应用程序有效的自然语言输入的解释。第一组类型适用于定义解释器与一个或多个分析引擎之间的交互。第二组类型适用于定义解释器和客户端应用程序之间的交互。

10. 发明申请

US20060253275A1 Method and apparatus for determining unbounded dependencies during syntactic parsing 审中-公开
公开(公告)号：US20060253275A1
公开(公告)日：2006-11-09
申请号：US11483515
申请日：2006-07-10
申请人： David Parkinson , Michael Calcagno
发明人： David Parkinson , Michael Calcagno
IPC分类号： G06F17/27
CPC分类号： G06F17/271
摘要： A method is provided for identifying non-local relationships between licensing elements in a text segment and a word or phrase external to the text segment during a syntactic parse. Under the method, certain syntactic rules for combining words or phrases with text segments indicate that there is a possibility that the word or phrase being combined with the text segment will fill a gap in a relationship within the text segment. Based on this possibility, the text segment is searched to determine if there are any unfilled gaps in the text segment. Under some embodiments, if an unfilled gap is found, the location of the gap and the role the word or phrase plays in the gap are stored in a data structure associated with the syntactic node formed by combining the word or phrase with the text segment.

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