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1. 发明授权

US4839853A Computer information retrieval using latent semantic structure 失效
标题翻译：使用潜在语义结构的计算机信息检索
公开(公告)号：US4839853A
公开(公告)日：1989-06-13
申请号：US244349
申请日：1988-09-15
申请人： Scott C. Deerwester , Susan T. Dumais , George W. Furnas , Richard A. Harshman , Thomas K. Landauer , Karen E. Lochbaum , Lynn A. Streeter
发明人： Scott C. Deerwester , Susan T. Dumais , George W. Furnas , Richard A. Harshman , Thomas K. Landauer , Karen E. Lochbaum , Lynn A. Streeter
IPC分类号： G06F17/21 , G06F17/30
CPC分类号： G06F17/21 , G06F17/30634 , Y10S707/99935
摘要： A methodology for retrieving textual data objects is disclosed. The information is treated in the statistical domain by presuming that there is an underlying, latent semantic structure in the usage of words in the data objects. Estimates to this latent structure are utilized to represent and retrieve objects. A user query is recouched in the new statistical domain and then processed in the computer system to extract the underlying meaning to respond to the query.
摘要翻译：公开了一种用于检索文本数据对象的方法。假设在数据对象中使用单词时存在潜在的潜在语义结构，则在统计域中处理信息。利用此潜在结构的估计来表示和检索对象。在新的统计域中重新使用用户查询，然后在计算机系统中进行处理，以提取基本含义以响应查询。

2. 发明授权

US5987446A Searching large collections of text using multiple search engines concurrently 失效
标题翻译：使用多个搜索引擎同时搜索大量文本集合
公开(公告)号：US5987446A
公开(公告)日：1999-11-16
申请号：US747298
申请日：1996-11-12
申请人： Douglas A. Corey , Thomas K. Landauer , Karen E. Lochbaum
发明人： Douglas A. Corey , Thomas K. Landauer , Karen E. Lochbaum
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , Y10S707/99933 , Y10S707/99935
摘要： An information retrieval system is disclosed, wherein the system includes a plurality of text search engines based on substantially different computational searching techniques. By activating each search engine with input from a user information request, the output from each of the search engines is combined into a single list of information items. A ranking process ranks the information items in the combined list by utilizing information item ordering data also received from each of the search engines as to the relevance of the information items output by the search engine to the user's request. Thus, by providing higher rankings to those information items determined to be most relevant to the user's request by each of (or a majority of) the search engines, these information items have been found to be highly consistent in satisfying the user's request for information.
摘要翻译：公开了一种信息检索系统，其中所述系统包括基于显着不同的计算搜索技术的多个文本搜索引擎。通过利用来自用户信息请求的输入激活每个搜索引擎，来自每个搜索引擎的输出被组合成单个信息项列表。排序处理通过利用从每个搜索引擎接收的关于搜索引擎输出的信息项与用户请求的相关性的信息项排序数据来对组合列表中的信息项进行排序。因此，通过为由搜索引擎中的每一个（或大多数）确定为与用户的请求最相关的那些信息项提供更高的排名，已经发现这些信息项在满足用户的信息请求时是高度一致的。

3. 发明授权

US06356864B1 Methods for analysis and evaluation of the semantic content of a writing based on vector length 失效
标题翻译：基于矢量长度的写作语义内容的分析和评估方法
公开(公告)号：US06356864B1
公开(公告)日：2002-03-12
申请号：US09121450
申请日：1998-07-23
申请人： Peter William Foltz , Thomas K. Landauer , Robert Darrell Laham, II , Walter Kintsch , Robert Ernest Rehder
发明人： Peter William Foltz , Thomas K. Landauer , Robert Darrell Laham, II , Walter Kintsch , Robert Ernest Rehder
IPC分类号： G06F1727
CPC分类号： G06F17/2785
摘要： The present invention is a methodology for analyzing and evaluating a sample text, such as essay(s), or document(s). This methodology compares sample text to a reference essay(s), document(s), or text segment(s) within a reference essay or document. The methodology analyzes the amount of subject-matter information in the sample text, analyzes the relevance of subject matter information in the sample and evaluates the semantic coherence of the sample. This methodology presumes there is an underlying, latent semantic structure in the usage of words. The method parses and stores text objects and text segments from the sample text and reference text into a two-dimensional data matrix. A weight is computed for each text object and applied to each data matrix cell value. The method performs a singular value decomposition on the data matrix, which produces three trained matrices. The method computes a vector representation of the sample text and reference text using the three trained matrices. The methodology compares the sample text to the reference text by computing the cosine between the vector representation of the sample text and the vector representation of the standard reference text. Alternatively, the dot product is used to compare the sample text to the standard reference text. A grade is assigned to the sample text based on the degree of similarity between the sample text and the standard reference text.
摘要翻译：本发明是用于分析和评估样本文本（例如散文或文档）的方法。这种方法将样本文本与参考文献或文档中的参考文献，文档或文本段进行比较。该方法分析样本文本中主题信息的数量，分析样本中主题信息的相关性，并评估样本的语义一致性。这种方法假设在使用词语中存在潜在的潜在语义结构。该方法将样本文本和参考文本中的文本对象和文本段解析并存储为二维数据矩阵。为每个文本对象计算权重并应用于每个数据矩阵单元格值。该方法对数据矩阵执行奇异值分解，产生三个训练矩阵。该方法使用三个训练矩阵计算样本文本和参考文本的向量表示。该方法通过计算样本文本的向量表示和标准参考文本的向量表示之间的余弦值将样本文本与参考文本进行比较。或者，点产品用于将样本文本与标准参考文本进行比较。基于样本文本和标准参考文本之间的相似度，将等级分配给样本文本。

4. 发明授权

US5301109A Computerized cross-language document retrieval using latent semantic indexing 失效
标题翻译：使用潜在语义索引进行计算机化跨语言文档检索
公开(公告)号：US5301109A
公开(公告)日：1994-04-05
申请号：US734291
申请日：1991-07-17
申请人： Thomas K. Landauer , Michael L. Littman
发明人： Thomas K. Landauer , Michael L. Littman
IPC分类号： G06F17/27 , G06F17/28 , G06F17/30 , G06F15/40
CPC分类号： G06F17/289 , G06F17/274 , G06F17/30634
摘要： A methodology for retrieving textual data objects in a multiplicity of languages is disclosed. The data objects are treated in the statistical domain by presuming that there is an underlying, latent semantic structure in the usage of words in each language under consideration. Estimates to this latent structure are utilized to represent and retrieve objects. A user query is recouched in the new statistical domain and then processed in the computer system to extract the underlying meaning to respond to the query.
摘要翻译：公开了一种以多种语言检索文本数据对象的方法。数据对象在统计领域被处理，假设在考虑每种语言中使用单词时存在潜在的潜在语义结构。利用此潜在结构的估计来表示和检索对象。在新的统计域中重新使用用户查询，然后在计算机系统中处理用户查询，以提取基本含义以响应查询。

5. 发明授权

US5703655A Video programming retrieval using extracted closed caption data which has been partitioned and stored to facilitate a search and retrieval process 失效
标题翻译：使用已经被分割和存储的提取的隐藏字幕数据的视频节目检索，以便于搜索和检索过程
公开(公告)号：US5703655A
公开(公告)日：1997-12-30
申请号：US665995
申请日：1996-06-19
申请人： Douglas Arthur Corey , Thomas K. Landauer , Bud C. Wonsiewicz
发明人： Douglas Arthur Corey , Thomas K. Landauer , Bud C. Wonsiewicz
IPC分类号： H04N7/088 , H04N7/08 , H04N7/087 , H04N7/10 , H04N9/64
CPC分类号： G11B27/28 , G11B27/105 , H04N7/088 , H04N7/0885
摘要： The present invention is a system and method for retrieving segments of stored video programs using closed caption text data. The closed caption text data is extracted from video programming signals received by the invention. Text records based on the extracted closed caption data are generated. Each text record is derived from the closed caption data for a single continuous video segment to which the text record serves as an index or key in retrieving this video segment. Preferably, each text record (a) has sufficient content to adequately describe the content of the video segment to which it serves as an index; and (b) corresponds to a video segment focused on a small number of topics. To accomplish (a) and (b) the present invention generates each text record so that it has a predetermined maximum length and so that it is derived from the closed caption data for a single uninterrupted speaker. During video data retrieval, video requests or queries input by users are evaluated either by comparing query terms with terms in the text records, or by comparing an interpretation of query terms with an interpretation of terms in the text records. Subsequently, video segment location information associated with each text record satisfying a query is used to retrieve the video segment to which the text record is an index.
摘要翻译：本发明是一种使用隐藏式字幕文本数据来检索存储的视频节目的片段的系统和方法。从本发明接收的视频编程信号中提取隐藏字幕文本数据。生成基于提取的隐藏字幕数据的文本记录。每个文本记录是从单个连续视频段的隐藏字幕数据导出的，文本记录用作检索该视频段的索引或键。优选地，每个文本记录（a）具有足够的内容以充分地描述其用作索引的视频段的内容; 和（b）对应于专注于少量主题的视频段。为了完成（a）和（b），本发明生成每个文本记录，使得它具有预定的最大长度，并且从单个不间断说话者的闭路字幕数据导出。在视频数据检索期间，用户输入的视频请求或查询将通过将查询词与文本记录中的术语进行比较，或者将查询词的解释与文本记录中术语的解释进行比较来评估。随后，使用与满足查询的每个文本记录相关联的视频段位置信息来检索文本记录是索引的视频段。

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