公开(公告)号：US09940367B1

公开(公告)日：2018-04-10

申请号：US14824553

申请日：2015-08-12

Applicant: Google Inc.

Inventor： Steven D. Baker ,  Srinivasan Venkatachary ,  Robert Andrew Brennan ,  Per Bjornsson ,  Yi Liu ,  Hadar Shemtov ,  Massimiliano Ciaramita ,  Ioannis Tsochantaridis

IPC: G06F17/30

CPC classification number: G06F17/30867

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for scoring candidate answer passages. In one aspect, a method includes receiving a query determined to be a question query that seeks an answer response and data identifying resources determined to be responsive to the query; for a subset of the resources: receiving candidate answer passages; determining, for each candidate answer passage, a query term match score that is a measure of similarity of the query terms to the candidate answer passage; determining, for each candidate answer passage, an answer term match score that is a measure of similarity of answer terms to the candidate answer passage; determining, for each candidate answer passage, a query dependent score based on the query term match score and the answer term match score; and generating an answer score that is a based on the query dependent score.

公开(公告)号：US20150317759A1

公开(公告)日：2015-11-05

申请号：US13831209

申请日：2013-03-14

Applicant: Google Inc.

Inventor： Yushi Jing ,  Yi Liu

IPC: G06Q10/10

CPC classification number: G06Q10/10 ,  G06Q10/1053 ,  G06Q50/2057

Abstract: In some implementations, a computer-implemented method is provided that includes accessing a database of career path data structures, each career path data structure including an initial node that represents an initial career position, a subsequent node that represents a subsequent career position, and a path element that represents a career transition between the initial career position and the subsequent career position and is associated with data regarding people that have made the career transition between the initial career position and the subsequent career position. The method includes receiving a career path query. The method includes identifying a set of the career path data structures based on the career path query. The method includes generating a set of career paths from the career path data structures, each career path including a directed graph that includes two or more nodes. The method includes providing a representation of the set of career paths.

Abstract translation: 在一些实现中，提供了一种计算机实现的方法，其包括访问职业路径数据结构的数据库，每个职业路径数据结构包括表示初始职业位置的初始节点，代表后续职业位置的后续节点，以及 路径元素代表了初始职业岗位与随后的职业职位之间的职业转换，并且与有关职业生涯过渡在最初职业岗位和后续职位之间的人员相关。 该方法包括接收职业路径查询。 该方法包括基于职业路径查询识别一组职业路径数据结构。 该方法包括从职业路径数据结构生成一组职业路径，每个职业路径包括包括两个或更多个节点的有向图。 该方法包括提供一组职业路径的表示。

公开(公告)号：US20170011116A1

公开(公告)日：2017-01-12

申请号：US15195364

申请日：2016-06-28

Applicant: Google Inc.

Inventor： Yi Liu ,  Preyas Popat ,  Nitin Gupta ,  Afroz Mohiuddin

IPC: G06F17/30

CPC classification number: G06F16/3334 ,  G06F16/3329 ,  G06F16/35

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating answers to answer-seeking queries. One of the methods includes receiving a query having multiple terms. The query is classified as an answer-seeking query of a particular question type, and one or more answer types associated with the particular question type are obtained. Search results satisfying the query are obtained, and a respective score is computed for each of one or more passages of text occurring in each document identified by the search results, wherein the score for each passage of text is based on how many of the one or more answer types match the passage of text. A presentation that includes information from one or more of the passages of text selected based on the respective score is provided in response to the query.

Abstract translation: 方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于产生答案查询的答案。 其中一种方法包括接收具有多个术语的查询。 查询被分类为特定问题类型的答案寻求查询，并且获得与特定问题类型相关联的一个或多个答案类型。 获得满足查询的搜索结果，并且针对由搜索结果识别的每个文档中出现的每个文本中的每一个文本的每一个计算相应的分数，其中每次文本通过的分数基于一个或多个 更多的答案类型与文本的通过相符。 响应于该查询，提供包括基于相应分数所选择的一个或多个文本段落的信息的演示文稿。

公开(公告)号：US09589208B2

公开(公告)日：2017-03-07

申请号：US14534825

申请日：2014-11-06

Applicant: Google Inc.

Inventor： Yushi Jing ,  Yi Liu ,  David Tsai

IPC: G06K9/62 ,  G06F17/24 ,  G06F17/30 ,  G06N99/00 ,  G06K9/00

CPC classification number: G06K9/6256 ,  G06F17/241 ,  G06F17/30256 ,  G06K9/00664 ,  G06K9/6215 ,  G06K9/6218 ,  G06K9/622 ,  G06K9/6267 ,  G06N99/005

Abstract: Methods, systems, and articles of manufacture for annotating of an image are disclosed. These include scoring the image using a plurality of trained classifiers, wherein each of the trained classifiers corresponds to at least one of a plurality of image groups clustered based upon image similarity, and wherein each image group is associated with a set of weighted labels; selecting one or more of the image groups based upon the scoring; aggregating one or more sets of weighted labels associated with the selected one or more image groups; and annotating the image using the aggregated one or more sets of weighted labels.

Abstract translation: 公开了用于注释图像的方法，系统和制品。 这些包括使用多个经过训练的分类器对图像进行评分，其中训练有序的分类器中的每一个对应于基于图像相似性聚集的多个图像组中的至少一个，并且其中每个图像组与一组加权标签相关联; 基于评分选择一个或多个图像组; 聚集与所选择的一个或多个图像组相关联的一组或多组加权标签; 并使用聚集的一组或多组加权标签来注释图像。

公开(公告)号：US20150142708A1

公开(公告)日：2015-05-21

申请号：US14534825

申请日：2014-11-06

Applicant: Google Inc.

Inventor： Yushi JING ,  Yi Liu ,  David Tsai

IPC: G06K9/62 ,  G06F17/30 ,  G06N99/00 ,  G06F17/24

CPC classification number: G06K9/6256 ,  G06F17/241 ,  G06F17/30256 ,  G06K9/00664 ,  G06K9/6215 ,  G06K9/6218 ,  G06K9/622 ,  G06K9/6267 ,  G06N99/005

Abstract: Methods, systems, and articles of manufacture for annotating of an image are disclosed. These include scoring the image using a plurality of trained classifiers, wherein each of the trained classifiers corresponds to at least one of a plurality of image groups clustered based upon image similarity, and wherein each image group is associated with a set of weighted labels; selecting one or more of the image groups based upon the scoring; aggregating one or more sets of weighted labels associated with the selected one or more image groups; and annotating the image using the aggregated one or more sets of weighted labels.

Abstract translation: 公开了用于注释图像的方法，系统和制品。 这些包括使用多个经过训练的分类器对图像进行评分，其中训练有序的分类器中的每一个对应于基于图像相似性聚集的多个图像组中的至少一个，并且其中每个图像组与一组加权标签相关联; 基于评分选择一个或多个图像组; 聚集与所选择的一个或多个图像组相关联的一组或多组加权标签; 并使用聚集的一组或多组加权标签来注释图像。