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1. 发明授权

US09773166B1 Identifying longform articles 有权
公开(公告)号：US09773166B1
公开(公告)日：2017-09-26
申请号：US14931576
申请日：2015-11-03
申请人： Google Inc.
发明人： Miriam King Connor , Isabelle L. Stanton , Amarnag Subramanya
IPC分类号： G06K9/00 , G06K9/66
CPC分类号： G06F17/271 , G06F17/30705 , G06N99/005
摘要： Methods, systems, and apparatus, including computer programs encoded on computer storage media, for classifying documents. One of the methods includes obtaining a collection of training documents, the training documents including positive documents identified as being longform documents and negative documents identified as not being longform documents; extracting one or more features from the training documents, wherein the features represent lexical or textual content of the training documents; and generating a longform document classifier trained using feature instances extracted from the training documents, wherein the generated longform document classifier is trained such that input documents are classified as being longform documents or classified as not being longform documents.

2. 发明授权

US09697475B1 Additive context model for entity resolution 有权
公开(公告)号：US09697475B1
公开(公告)日：2017-07-04
申请号：US14138606
申请日：2013-12-23
申请人： GOOGLE INC.
发明人： Amarnag Subramanya , Michael Ringgaard , Fernando Carlos das Neves Pereira
IPC分类号： G06N99/00
CPC分类号： G06N99/005 , G06N7/005
摘要： Systems and methods are disclosed for using an additive context model for entity disambiguation. An example method may include receiving a span of text from a document and a phrase vector for the span. The phrase vector may have a quantity of features and represent a context for the span. The method also includes determining a quantity of candidate entities from a knowledge base that have been referred to by the span. For each of the quantity of candidate entities, the method may include determining a support score for the candidate entity for each feature in the phrase vector, combining the support scores additively, and computing a probability that the span resolves to the candidate entity given the context. The method may also include resolving the span to a candidate entity with a highest probability.

3. 发明申请

US20150205782A1 IDENTIFYING TASKS IN MESSAGES 有权
标题翻译：识别消息中的任务
公开(公告)号：US20150205782A1
公开(公告)日：2015-07-23
申请号：US14161368
申请日：2014-01-22
申请人： Google Inc.
发明人： Amarnag Subramanya , Edgar Gonzalez Pellicer , Shalini Agarwal
IPC分类号： G06F17/27
CPC分类号： G06F17/243 , G06F17/241 , G06F17/274 , G06F17/2765 , G06Q10/107 , G06Q10/1097 , H04L51/08 , H04M1/72552
摘要： Methods and apparatus are described herein for identifying tasks in messages. In various implementations, natural language processing may be performed on a received message to generate an annotated message. The annotated message may be analyzed pursuant to a grammar. A portion of the message may be classified as a user task entry based on the analysis of the annotated message.
摘要翻译：本文描述了用于识别消息中的任务的方法和装置。在各种实施方式中，可以对所接收的消息执行自然语言处理以产生带注释的消息。可以根据语法来分析注释的消息。消息的一部分可以基于对注释消息的分析来分类为用户任务条目。

4. 发明授权

US08913152B1 Techniques for user customization in a photo management system 有权
标题翻译：在照片管理系统中用户定制的技术
公开(公告)号：US08913152B1
公开(公告)日：2014-12-16
申请号：US13628820
申请日：2012-09-27
申请人： Google Inc.
发明人： Rodrigo Carceroni , Pannag Raghunath Sanketi , Amarnag Subramanya
IPC分类号： H04N5/228
CPC分类号： G06F17/3028 , G06F3/04842 , G06K9/6219 , G06T11/60 , H04N5/23216 , H04N5/23293
摘要： A computer-implemented technique can receive a plurality of photos and automatically select a subset of the plurality of photos having a high degree of representativeness by jointly maximizing both photo quality and photo diversity to obtain a photo album. The technique can determine one or more clusters for the photo album using a hierarchical clustering algorithm, and store the photo album according to the one or more clusters. The technique can control the manner in which the photo album is displayed using the one or more clusters. The technique can adjust at least one of the one or more clusters and the automatic photo album generation based on user input. The user input can include at least one of adding, deleting, and moving a photo with respect to the one or more clusters. The technique can then re-cluster, automatically generate a new photo album, and/or adjust the presentation.
摘要翻译：计算机实现的技术可以接收多张照片，并通过联合最大化照片质量和照片分集来获得相册，自动选择具有高度代表性的多张照片的子集。该技术可以使用分层聚类算法确定相册的一个或多个聚类，并根据一个或多个聚类存储相册。该技术可以使用一个或多个聚类来控制相册的显示方式。该技术可以基于用户输入来调整一个或多个聚类中的至少一个和自动相册的生成。用户输入可以包括关于一个或多个聚类的添加，删除和移动照片中的至少一个。该技术可以重新聚集，自动生成新的相册和/或调整演示文稿。

5. 发明授权

US08666749B1 System and method for audio snippet generation from a subset of music tracks 有权
标题翻译：从音乐轨道子集生成音频片段的系统和方法
公开(公告)号：US08666749B1
公开(公告)日：2014-03-04
申请号：US13744222
申请日：2013-01-17
申请人： Google Inc.
发明人： Amarnag Subramanya , Jennifer Gillenwater , Garth Griffin , Fernando Pereira , Douglas Eck
IPC分类号： G10L11/00
CPC分类号： G06F17/30743
摘要： The disclosure includes a system and method for generating audio snippets from a subset of audio tracks. In some embodiments an audio snippet is an audio summary of a group or collection of songs.
摘要翻译：本公开包括用于从音频子集的子集产生音频片段的系统和方法。在一些实施例中，音频片段是组或歌曲集合的音频摘要。

6. 发明授权

US09984058B2 Identifying tasks in messages 有权
公开(公告)号：US09984058B2
公开(公告)日：2018-05-29
申请号：US15429991
申请日：2017-02-10
申请人： Google Inc.
发明人： Amarnag Subramanya , Edgar Gonzalez Pellicer , Shalini Agarwal
IPC分类号： G06F17/27 , G06F17/20 , G06F17/24 , G06Q10/10 , H04L12/58 , H04M1/725
摘要： Methods and apparatus are described herein for identifying tasks in messages. In various implementations, natural language processing may be performed on a received message to generate an annotated message. The annotated message may be analyzed pursuant to a grammar. A portion of the message may be classified as a user task entry based on the analysis of the annotated message.

7. 发明申请

US20170154024A1 IDENTIFYING TASKS IN MESSAGES 有权
公开(公告)号：US20170154024A1
公开(公告)日：2017-06-01
申请号：US15429991
申请日：2017-02-10
申请人： Google Inc.
发明人： Amarnag Subramanya , Edgar Gonzalez Pellicer , Shalini Agarwal
IPC分类号： G06F17/24 , G06Q10/10 , H04L12/58 , G06F17/27
CPC分类号： G06F17/243 , G06F17/241 , G06F17/274 , G06F17/2765 , G06Q10/107 , G06Q10/1097 , H04L51/08 , H04M1/72552
摘要： Methods and apparatus are described herein for identifying tasks in messages. In various implementations, natural language processing may be performed on a received message to generate an annotated message. The annotated message may be analyzed pursuant to a grammar. A portion of the message may be classified as a user task entry based on the analysis of the annotated message.

8. 发明授权

US09619457B1 Techniques for automatically identifying salient entities in documents 有权
公开(公告)号：US09619457B1
公开(公告)日：2017-04-11
申请号：US14332996
申请日：2014-07-16
申请人： Google Inc.
发明人： Daniel Gillick , Amarnag Subramanya
IPC分类号： G06F17/27 , G06K9/00
CPC分类号： G06K9/00442 , G06F17/271 , G06F17/2715 , G06F17/277 , G06K9/00483 , G06K9/6218
摘要： A computer-implemented technique can include obtaining a training corpus including pairs of (i) documents and (ii) corresponding abstracts. The technique can include identifying a set of entity mentions in each abstract and each corresponding document based on their respective part-of-speech (POS) tags and dependency parses. The technique can include clustering the sets of entity mentions referring to a same underlying entity to obtain clusters for each document and each corresponding abstract. The technique can include aligning specific abstract entity mentions to corresponding document entity mentions to obtain a set of aligned abstract and document entities. The technique can include labeling the set of aligned entities as salient and unaligned entities as non-salient to generate a labeled corpus. The technique can also include training features of a classifier using the labeled corpus to obtain a trained classifier.

9. 发明授权

US09224103B1 Automatic annotation for training and evaluation of semantic analysis engines 有权
标题翻译：自动注释用于语义分析引擎的训练和评估
公开(公告)号：US09224103B1
公开(公告)日：2015-12-29
申请号：US13801197
申请日：2013-03-13
申请人： Google Inc.
发明人： Amarnag Subramanya , Fernando Pereira
IPC分类号： G06F15/18 , G06N99/00
CPC分类号： G06N99/005
摘要： Implementations include systems and methods generate data for training or evaluating semantic analysis engines. For example, a method may include receiving documents from a corpus that includes an authoritative set of documents from an authoritative source. Each document in the authoritative set may be associated with an entity. A second set of documents from the corpus that do not overlap with the first set may include at least one link to a document in the authoritative set, the at least one link being associated with anchor text. For each document in the second set, the method may include identifying entity mentions in the document based on the anchor text. The method may include associating the entity mention with the entity in a graph-structured knowledge base or associating entity types with the entity mention. The method may also include training a semantic analysis engine using the identified entity mentions and associations.
摘要翻译：实现包括系统和方法生成用于训练或评估语义分析引擎的数据。例如，一种方法可以包括从语料库接收包括来自权威来源的权威的一组文件的文档。权威集中的每个文档可能与一个实体相关联。来自语料库的与第一组不重叠的第二组文档可以包括至少一个链接到权威集合中的文档，该至少一个链接与锚文本相关联。对于第二组中的每个文档，该方法可以包括基于锚文本识别文档中的实体提及。该方法可以包括将实体提及与图形结构化知识库中的实体相关联或将实体类型与实体提及相关联。该方法还可以包括使用所识别的实体提及和关联来训练语义分析引擎。

10. 发明授权

US10069784B2 Associating a segment of an electronic message with one or more segment addressees 有权
公开(公告)号：US10069784B2
公开(公告)日：2018-09-04
申请号：US15331456
申请日：2016-10-21
申请人： Google Inc.
发明人： Edgar Gonzalez Pellicer , Amarnag Subramanya
IPC分类号： G06F15/16 , H04L12/58 , G06Q10/10 , G06F17/27
摘要： Methods and apparatus related to associating a segment of an electronic message with one or more segment addressees. One or more message addressees of an electronic message may be identified, the one or more message addressees identifying at least one recipient of the electronic message. A segment of the electronic message may be identified via one or more processors. One or more segment addressees may be determined from the at least one recipient, the one or more segment addressees identifying an addressee for the identified segment. One or more aspects of the segment may be associated with the one or more segment addressees. An indication pertaining to the one or more aspects of the segment may be provided to the one or more segment addressees.

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