公开(公告)号：US20050065777A1

公开(公告)日：2005-03-24

申请号：US10977910

申请日：2004-10-29

申请人： William Dolan ,  Michael Barnett ,  Stephen Richardson ,  Arul Menezes ,  Lucretia Vanderwende

发明人： William Dolan ,  Michael Barnett ,  Stephen Richardson ,  Arul Menezes ,  Lucretia Vanderwende

IPC分类号： G06F17/27 ,  G06F17/30 ,  G06F17/21

CPC分类号： G06F17/30684 ,  G06F17/271 ,  G06F17/277 ,  G06F17/2785 ,  Y10S707/99932 ,  Y10S707/99935

摘要： The present invention can be used in a natural language processing system to determine a relationship (such as similarity in meaning) between two textual segments. The relationship can be identified or determined based on logical graphs generated from the textual segments. A relationship between first and second logical graphs is determined. This is accomplished regardless of whether there is an exact match between the first and second logical graphs. In one embodiment, the first graph represents an input textual discourse unit. The second graph, in one embodiment, represents information in a lexical knowledge base (LKB). The input graph can be matched against the second graph, if they have similar meaning, even if the two differ lexically or structurally.

摘要翻译： 本发明可以用于自然语言处理系统中以确定两个文本段之间的关系（诸如意义上的相似性）。 可以基于从文本段生成的逻辑图来识别或确定关系。 确定第一和第二逻辑图之间的关系。 无论第一个和第二个逻辑图之间是否存在精确的匹配，这是完成的。 在一个实施例中，第一图表示输入文本话语单元。 在一个实施例中，第二个图表示词汇知识库（LKB）中的信息。 输入图可以与第二个图匹配，如果它们具有相似的含义，即使两者在词汇或结构上不同。

公开(公告)号：US20050220351A1

公开(公告)日：2005-10-06

申请号：US10825642

申请日：2004-04-15

申请人： Lucretia Vanderwende ,  Aurl Menezes ,  Michele Banko

发明人： Lucretia Vanderwende ,  Aurl Menezes ,  Michele Banko

IPC分类号： G06F17/21 ,  G06F7/00 ,  G06F17/30 ,  G06K9/34

CPC分类号： G06F17/30734

摘要： The present invention is a method and system for identifying words, text fragments, or concepts of interest in a corpus of text. A graph is built which covers the corpus of text. The graph includes nodes and links, where nodes represent a word or a concept and links between the nodes represent directed relation names. A score is then computed for each node in the graph. Scores can also be computed for larger sub-graph portions of the graph (such as tuples) The scores are used to identify desired sub-graph portions of the graph, those sub-graph portions being referred to as graph fragments.

摘要翻译： 本发明是用于识别文本语料库中的词，文本片段或兴趣概念的方法和系统。 构建了一个涵盖文本语料库的图形。 该图包括节点和链接，其中节点表示单词或概念，节点之间的链接表示定向关系名称。 然后为图中的每个节点计算得分。 也可以为图形的较大子图部分（如元组）计算分数。分数用于识别图形的所需子图部分，这些子图部分称为图形片段。

公开(公告)号：US20100293180A1

公开(公告)日：2010-11-18

申请号：US12467538

申请日：2009-05-18

申请人： Lucretia Vanderwende ,  Christopher John Brockett

发明人： Lucretia Vanderwende ,  Christopher John Brockett

IPC分类号： G06F17/30

CPC分类号： G06F17/30696

摘要： Conceptually related term identification technique embodiments are presented that involve identifying in the results of a search query, terms that are conceptually related to the search query terms. In one general embodiment, this is accomplished by first inputting the terms employed in a search query and the results of the search. Word tokens found in the search query terms are then identified, as are potential phrases that can be made from the identified word tokens. Conceptually related words and phrases are then identified in the search query results. These words and phrases correspond to the previously identified word tokens and potential phrases. The search query results are presented to a user on a display device in such a manner as to visually distinguish the conceptually related words and phrases from other words and phrases in the search query results.

摘要翻译： 提出了概念上相关的术语识别技术实施例，其涉及在搜索查询的结果中识别在概念上与搜索查询术语相关的术语。 在一个一般实施例中，这是通过首先输入在搜索查询中使用的术语和搜索结果来实现的。 然后识别在搜索查询术语中找到的词标记，以及可以从识别的词标记形成的潜在短语。 然后在搜索查询结果中识别概念上相关的单词和短语。 这些单词和短语对应于先前识别的词标记和潜在短语。 搜索查询结果以在视觉上区分搜索查询结果中的概念上相关的单词和短语与其他单词和短语的方式呈现给显示设备上的用户。

公开(公告)号：US08316039B2

公开(公告)日：2012-11-20

申请号：US12467538

申请日：2009-05-18

申请人： Lucretia Vanderwende ,  Chris Brockett

发明人： Lucretia Vanderwende ,  Chris Brockett

IPC分类号： G06F17/30

CPC分类号： G06F17/30696

摘要： Conceptually related term identification technique embodiments are presented that involve identifying in the results of a search query, terms that are conceptually related to the search query terms. In one general embodiment, this is accomplished by first inputting the terms employed in a search query and the results of the search. Word tokens found in the search query terms are then identified, as are potential phrases that can be made from the identified word tokens. Conceptually related words and phrases are then identified in the search query results. These words and phrases correspond to the previously identified word tokens and potential phrases. The search query results are presented to a user on a display device in such a manner as to visually distinguish the conceptually related words and phrases from other words and phrases in the search query results.

摘要翻译： 提出了概念上相关的术语识别技术实施例，其涉及在搜索查询的结果中识别在概念上与搜索查询术语相关的术语。 在一个一般实施例中，这是通过首先输入在搜索查询中使用的术语和搜索结果来实现的。 然后识别在搜索查询术语中找到的词标记，以及可以从识别的词标记形成的潜在短语。 然后在搜索查询结果中识别概念上相关的单词和短语。 这些单词和短语对应于先前识别的词标记和潜在短语。 搜索查询结果以在视觉上区分搜索查询结果中的概念上相关的单词和短语与其他单词和短语的方式呈现给显示设备上的用户。