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    • 45. 发明授权
    • Architecture for generating responses to search engine queries
    • 用于生成对搜索引擎查询的响应的体系结构
    • US08666983B2
    • 2014-03-04
    • US10460955
    • 2003-06-13
    • Eric D. BrillSoumya Ray
    • Eric D. BrillSoumya Ray
    • G06F17/30
    • G06F17/30654
    • Architecture for generating responses to search engine queries. Question/answer pairs are used to provide a predefined question hierarchy to facilitate a search. Informative terms and one or more questions are associated with each question node of the hierarchy. A question posed is mapped into the hierarchy to the most similar question class node, as determined by passages of the question and/or comparing the informative terms of the question and the question/answer node. Weighted informative terms associated with that node are then returned, and can be used by an automatic question answering system to more effectively find an answer to a question.
    • 用于生成对搜索引擎查询的响应的体系结构。 问题/答案对用于提供预定义的问题层次结构以便于搜索。 信息术语和一个或多个问题与层次结构的每个问题节点相关联。 所提出的问题被映射到最类似的问题类节点的层次结构中,由问题的段落和/或比较问题的信息性条款和问题/答案节点来确定。 然后返回与该节点相关联的加权信息术语,并且可以由自动问答系统使用以更有效地找到问题的答案。
    • 46. 发明授权
    • Context based search and document retrieval
    • 基于上下文的搜索和文档检索
    • US07974964B2
    • 2011-07-05
    • US11654324
    • 2007-01-17
    • Silviu P. CucerzanEric D. Brill
    • Silviu P. CucerzanEric D. Brill
    • G06F17/30
    • G06F17/3061
    • A context based search and document retrieval application is disclosed. The application uses context data that is generated by a document analysis component based upon context information from various sources, including for example, document collections available on the world wide web. The context data is provided to a search query generator. The search query generator is configured to generate a contextually annotated search query based upon a user query and context data. Bookmarks having an associated context are generated for documents retrieved in response to the contextually annotated search query. The application then provides access to the bookmarked documents when the user is browsing other documents with similar contexts to the context of the original document for which the context based search was executed and the bookmark created. The bookmarked documents are hyperlinked to terms in the browsed document.
    • 公开了一种基于上下文的搜索和文档检索应用程序。 该应用使用基于来自各种来源的上下文信息由文档分析组件生成的上下文数据,包括例如在万维网上可用的文档集合。 将上下文数据提供给搜索查询生成器。 搜索查询生成器被配置为基于用户查询和上下文数据来生成上下文注释的搜索查询。 生成具有关联上下文的书签,用于响应于上下文注释的搜索查询检索的文档。 当用户正在浏览具有与执行基于上下文的搜索的原始文档的上下文相似的上下文的其他文档并且创建书签时,应用程序提供对加书签的文档的访问。 书签的文档被超链接到浏览文档中的术语。
    • 48. 发明授权
    • Reducing human overhead in text categorization
    • 在文本分类中减少人为的开销
    • US07894677B2
    • 2011-02-22
    • US11350701
    • 2006-02-09
    • Arnd Christian KönigEric D. Brill
    • Arnd Christian KönigEric D. Brill
    • G06K9/64
    • G06K9/6282
    • A unique multi-stage classification system and method that facilitates reducing human resources or costs associated with text classification while still obtaining a desired level of accuracy is provided. The multi-stage classification system and method involve a pattern-based classifier and a machine learning classifier. The pattern-based classifier is trained on discriminative patterns as identified by humans rather than machines which allow a smaller training set to be employed. Given humans' superior abilities to reason over text, discriminative patterns can be more accurately and more readily identified by them. Unlabeled items can be initially processed by the pattern-based classifier and if no pattern match exists, then the unlabeled data can be processed by the machine learning classifier. By employing the classifiers in this manner, less human involvement is required in the classification process. Even more, classification accuracy is maintained and/or improved.
    • 提供了一种独特的多级分类系统和方法,其有助于减少与文本分类相关联的人力资源或成本,同时仍然获得期望的精度水平。 多级分类系统和方法涉及基于模式的分类器和机器学习分类器。 对基于模式的分类器进行人类识别的识别模式的培训,而不是允许使用较小训练集的机器。 鉴于人类超越文本的优越能力,歧视性模式可以更准确,更容易地被识别。 未标记的项目可以由基于模式的分类器最初处理,如果不存在模式匹配,那么未标记的数据可以由机器学习分类器处理。 通过以这种方式使用分类器,在分类过程中需要较少的人参与。 更重要的是,维护和/或改进分类精度。
    • 49. 发明授权
    • Question answering over structured content on the web
    • 在网络上回答结构化内容的问题
    • US07873624B2
    • 2011-01-18
    • US11256503
    • 2005-10-21
    • Yevgeny E. AgichteinChristopher J. BurgesEric D. Brill
    • Yevgeny E. AgichteinChristopher J. BurgesEric D. Brill
    • G06F17/30
    • G06F17/3043G06F17/30398G06F17/30401
    • Structured content and associated metadata from the Web are leveraged to provide specific answer string responses to user questions. The structured content can also be indexed at crawl-time to facilitate searching of the content at search-time. Ranking techniques can also be employed to facilitate in providing an optimum answer string and/or a top K list of answer strings for a query. Ranking can be based on trainable algorithms that utilize feature vectors for candidate answer strings. In one instance, at crawl-time, structured content is indexed and automatically associated with metadata relating to the structured content and the source web page. At search-time, candidate indexed structured content is then utilized to extract an appropriate answer string in response to a user query.
    • 来自网络的结构化内容和相关元数据被用来提供用户问题的特定答案字符串响应。 结构化内容还可以在爬行时间进行索引,以便于搜索时搜索内容。 也可以采用排名技术来促进为查询提供最佳答案字符串和/或回答字符串的顶部K列表。 排名可以基于利用候选答案字符串的特征向量的可训练算法。 在一个实例中,在爬行时,结构化内容被索引并且与结构化内容和源网页相关联的元数据自动关联。 在搜索时间,然后利用候选索引的结构化内容来提取响应于用户查询的适当答案字符串。