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71. 发明授权

US07783629B2 Training a ranking component 有权
标题翻译：训练排名组成部分
公开(公告)号：US07783629B2
公开(公告)日：2010-08-24
申请号：US11326283
申请日：2006-01-05
申请人： Hang Li , Jianfeng Gao , Yunbo Cao
发明人： Hang Li , Jianfeng Gao , Yunbo Cao
IPC分类号： G06F17/30
CPC分类号： G06F17/30616
摘要： A query and a factoid type selection are received from a user. An index of passages, indexed based on factoids, is accessed and passages that are related to the query, and that have the selected factoid type, are retrieved. The retrieved passages are ranked and provided to the user based on a calculated score, in rank order.
摘要翻译：从用户接收到查询和事实类型选择。访问基于事实的索引的段落索引，并检索与查询相关的段落，并且具有所选择的实例类型的段落。检索到的段落按照排列顺序根据计算得分排列并提供给用户。

72. 发明申请

US20100082582A1 COMBINING LOG-BASED RANKERS AND DOCUMENT-BASED RANKERS FOR SEARCHING 有权
标题翻译：组合基于日志的排名和基于文档的排名者进行搜索
公开(公告)号：US20100082582A1
公开(公告)日：2010-04-01
申请号：US12243678
申请日：2008-10-01
申请人： Jianfeng Gao , Kuansan Wang
发明人： Jianfeng Gao , Kuansan Wang
IPC分类号： G06F17/30
CPC分类号： G06F17/30867
摘要： Log-based rankers and document-based rankers may be combined for searching. In an example embodiment, there is a method for combining rankers to perform a search operation. A count of query instances in log data is ascertained based on a query. A search for the query is performed to produce a set of search results. The set of search results is ranked by relevance score with a document-based ranker and a log-based ranker using a weighting factor that is adapted responsive to the count of the query instances in the log data.
摘要翻译：基于日志的排名者和基于文档的排名者可以组合进行搜索。在示例性实施例中，存在用于组合等级以执行搜索操作的方法。基于查询确定日志数据中的查询实例的计数。执行查询的搜索以产生一组搜索结果。搜索结果的集合通过使用基于文档的游客和基于日志的游戏者的相关性得分进行排序，该游戏者使用响应于日志数据中的查询实例的计数的加权因子。

73. 发明授权

US07672832B2 Standardized natural language chunking utility 有权
标题翻译：标准化的自然语言分块实用程序
公开(公告)号：US07672832B2
公开(公告)日：2010-03-02
申请号：US11345615
申请日：2006-02-01
申请人： Chang-Ning Huang , Hong-Qiao Li , Jianfeng Gao
发明人： Chang-Ning Huang , Hong-Qiao Li , Jianfeng Gao
IPC分类号： G06F17/27
CPC分类号： G06F17/2775 , G06F17/278 , G06F17/2863
摘要： A method is disclosed for providing a chunking utility that supports robust natural language processing. A corpus is chunked in accordance with a draft chunking specification. Chunk inconsistencies in the corpus are automatically flagged for resolution, and a chunking utility is provided in which at least some of the flagged inconsistencies are resolved. The chunking utility provides a single, consistent global chunking standard, ensuring compatibility among various applications. The chunking utility is particularly advantageous for non-alphabetic languages, such as Chinese.
摘要翻译：公开了一种用于提供支持鲁棒自然语言处理的分块实用程序的方法。一个语料库根据一个草稿分块规范分块。语料库中的块不一致被自动标记为解决，并且提供了一个分块实用程序，其中至少一些标记的不一致性被解决。分块实用程序提供单一的，一致的全局分块标准，确保各种应用程序之间的兼容性。分组实用程序对于非字母语言（如中文）特别有利。

74. 发明申请

US20080147579A1 Discriminative training using boosted lasso 审中-公开
标题翻译：使用增强套索的歧视性训练
公开(公告)号：US20080147579A1
公开(公告)日：2008-06-19
申请号：US11638887
申请日：2006-12-14
申请人： Jianfeng Gao
发明人： Jianfeng Gao
IPC分类号： G06N3/08
CPC分类号： G10L15/197
摘要： Word sequences that contain a selected feature are identified using an index that comprises a separate entry for each of a collection of features in the language model, each entry identifying word sequences that contain the feature. The identified word sequences are used to compute a best value for a feature weight of the selected feature. A selection is made between the best value and a step-change value for the feature weight to produce a new value for the feature weight. The new value for the feature weight is then stored in a current set of feature weights for the language model.
摘要翻译：包含所选特征的词序列使用包括用于语言模型中的每个特征集合的单独条目的索引来标识，每个条目标识包含该特征的字序列。所识别的字序列用于计算所选特征的特征权重的最佳值。在特征权重的最佳值和阶跃变化值之间进行选择，以生成特征权重的新值。然后将特征权重的新值存储在语言模型的当前特征权重集中。

75. 发明申请

US20070203869A1 Adaptive semantic platform architecture 审中-公开
标题翻译：自适应语义平台架构
公开(公告)号：US20070203869A1
公开(公告)日：2007-08-30
申请号：US11363747
申请日：2006-02-28
申请人： William D. Ramsey , Sanjeev Katariya , Jun Liu , Jianfeng Gao , Qi Yao , Zhanliang Chen
发明人： William D. Ramsey , Sanjeev Katariya , Jun Liu , Jianfeng Gao , Qi Yao , Zhanliang Chen
IPC分类号： G06N7/02
CPC分类号： G06F17/279
摘要： An adaptive shared infrastructure that can be easily utilized to enable natural interaction between user(s) and machine system(s) is provided. Additionally, the novel innovation can provide interactive techniques that produce accurate intent-to-action mapping based upon a user input. Further, the innovation can provide novel mechanism by which assets (e.g., documents, actions) can be authored. The authoring mechanisms can enable the generation of learning models such that the system can infer a user intent based at least in part upon an analysis of a user input. In response thereto, the system can discover an asset, or group of assets based upon the inference. Moreover, the innovation can provide a natural language interface that learns and/or adapts based upon one or more user input(s), action(s), and/or state(s).
摘要翻译：提供了可以容易地利用以实现用户和机器系统之间的自然交互的自适应共享基础设施。此外，新颖的创新可以提供基于用户输入产生准确的意图 - 动作映射的交互技术。此外，创新可以提供可以创作资产（例如，文档，动作）的新颖机制。创作机制可以实现学习模型的产生，使得系统至少部分地基于对用户输入的分析来推断用户意图。作为响应，系统可以基于推论发现资产或资产组。此外，创新可以提供基于一个或多个用户输入，动作和/或状态来学习和/或适应的自然语言界面。

76. 发明申请

US20060277033A1 Discriminative training for language modeling 有权
标题翻译：语言建模歧视性培训
公开(公告)号：US20060277033A1
公开(公告)日：2006-12-07
申请号：US11142432
申请日：2005-06-01
申请人： Jianfeng Gao , Hisami Suzuki
发明人： Jianfeng Gao , Hisami Suzuki
IPC分类号： G06F17/21
CPC分类号： G10L15/063 , G10L15/197
摘要： A method of training language model parameters trains discriminative model parameters in the language model based on a performance measure having discrete values.
摘要翻译：训练语言模型参数的方法是基于具有离散值的性能度量来训练语言模型中的歧视模型参数。

77. 发明申请

US20060184341A1 Method and Apparatus for Generating and Managing a Language Model Data Structure 失效
标题翻译：用于生成和管理语言模型数据结构的方法和装置
公开(公告)号：US20060184341A1
公开(公告)日：2006-08-17
申请号：US11276292
申请日：2006-02-22
申请人： Shuo Di , Kai-Fu Lee , Lee-Feng Chien , Zheng Chen , Jianfeng Gao
发明人： Shuo Di , Kai-Fu Lee , Lee-Feng Chien , Zheng Chen , Jianfeng Gao
IPC分类号： G06F17/10
CPC分类号： G06F17/27 , G10L15/285
摘要： A method is presented comprising assigning each of a plurality of segments comprising a received corpus to a node in a data structure denoting dependencies between nodes, and calculating a transitional probability between each of the nodes in the data structure.
摘要翻译：提出了一种方法，包括将包括接收到的语料库的多个段中的每一个分配给表示节点之间的依赖关系的数据结构中的节点，以及计算数据结构中每个节点之间的过渡概率。

78. 发明申请

US20060009965A1 Method and apparatus for distribution-based language model adaptation 有权
公开(公告)号：US20060009965A1
公开(公告)日：2006-01-12
申请号：US11225543
申请日：2005-09-13
申请人： Jianfeng Gao , Mingjing Li
发明人： Jianfeng Gao , Mingjing Li
IPC分类号： G06F17/27
CPC分类号： G06F17/2715 , G10L15/065 , G10L15/1815
摘要： A method and apparatus are provided for adapting a language model to a task-specific domain. Under the method and apparatus, the relative frequency of n-grams in a small training set (i.e. task-specific training data set) and the relative frequency of n-grams in a large training set (i.e. out-of-domain training data set) are used to weight a distribution count of n-grams in the large training set. The weighted distributions are then used to form a modified language model by identifying probabilities for n-grams from the weighted distributions.

79. 发明授权

US06904402B1 System and iterative method for lexicon, segmentation and language model joint optimization 有权
标题翻译：词法，分割和语言模型联合优化的系统迭代法
公开(公告)号：US06904402B1
公开(公告)日：2005-06-07
申请号：US09609202
申请日：2000-06-30
申请人： Hai-Feng Wang , Chang-Ning Huang , Kai-Fu Lee , Shuo Di , Jianfeng Gao , Dong-Feng Cai , Lee-Feng Chien
发明人： Hai-Feng Wang , Chang-Ning Huang , Kai-Fu Lee , Shuo Di , Jianfeng Gao , Dong-Feng Cai , Lee-Feng Chien
IPC分类号： G06F17/28 , G06F17/27 , G10L15/06 , G10L15/18 , G06F17/21 , G06F17/20 , G10L15/00
CPC分类号： G06F17/274 , G10L15/197
摘要： A method for optimizing a language model is presented comprising developing an initial language model from a lexicon and segmentation derived from a received corpus using a maximum match technique, and iteratively refining the initial language model by dynamically updating the lexicon and re-segmenting the corpus according to statistical principles until a threshold of predictive capability is achieved.
摘要翻译：提出了一种用于优化语言模型的方法，其包括使用最大匹配技术从词典和从接收到的语料库导出的分割开发初始语言模型，并且通过动态地更新词典并重新分割语料库来迭代地改进初始语言模型统计原理，直到达到预测能力的阈值。

80. 发明授权

US09501759B2 Search query and document-related data translation 有权
标题翻译：搜索查询和文档相关的数据翻译
公开(公告)号：US09501759B2
公开(公告)日：2016-11-22
申请号：US13328924
申请日：2011-12-16
申请人： Jianfeng Gao , Xuedong Huang , Mei Li , Zhenghao Wang , Christopher John Brockett , William B. Dolan
发明人： Jianfeng Gao , Xuedong Huang , Mei Li , Zhenghao Wang , Christopher John Brockett , William B. Dolan
IPC分类号： G06F17/30 , G06F7/00 , G06Q10/10 , G06Q30/02
CPC分类号： G06Q10/10 , G06F17/30687 , G06Q30/0241
摘要： The subject disclosure is directed towards developing a translation model for mapping search query terms to document-related data. By processing user logs comprising search histories into word-aligned query-document pairs, the translation model may be trained using data, such as probabilities, corresponding to the word-aligned query-document pairs. After incorporating the translation model into model data for a search engine, the translation model is used may used as features for producing relevance scores for current search queries and ranking documents/advertisements according to relevance.
摘要翻译：本发明旨在开发用于将搜索查询词语映射到文档相关数据的翻译模型。通过将包括搜索历史的用户日志处理成字对齐的查询 - 文档对，可以使用对应于字对齐的查询 - 文档对的诸如概率的数据来训练翻译模型。在将翻译模型合并到搜索引擎的模型数据中之后，使用翻译模型可以用作根据相关性产生当前搜索查询和排序文档/广告的相关性分数的特征。

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