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公开(公告)号：US10811125B2
公开(公告)日：2020-10-20
申请号：US15681722
申请日：2017-08-21
摘要： A method, a computing system and a computer program product are provided. A computing system identifies elements within a collection of medical documents. The elements include patients, adverse events and medical drugs. The medical documents are analyzed by the computer system to determine associations between the identified medical drugs and corresponding identified adverse events. The identified elements and the determined associations may be encoded as features by the computing system. The computing system identifies portions of the medical documents as containing the identified elements and the determined associations. The computing system generates a classification model based at least on the encoded features associated with the identified portions for identifying medical case safety reports within medical documents. The classification model is applied to a new document to determine a classification of the new document with respect to a medical case safety report.
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公开(公告)号：US20190057191A1
公开(公告)日：2019-02-21
申请号：US15681722
申请日：2017-08-21
摘要： A method, a computing system and a computer program product are provided. A computing system identifies elements within a collection of medical documents. The elements include patients, adverse events and medical drugs. The medical documents are analyzed by the computer system to determine associations between the identified medical drugs and corresponding identified adverse events. The identified elements and the determined associations may be encoded as features by the computing system. The computing system identifies portions of the medical documents as containing the identified elements and the determined associations. The computing system generates a classification model based at least on the encoded features associated with the identified portions for identifying medical case safety reports within medical documents. The classification model is applied to a new document to determine a classification of the new document with respect to a medical case safety report.
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公开(公告)号：US20170091164A1
公开(公告)日：2017-03-30
申请号：US14866053
申请日：2015-09-25
CPC分类号： G06F17/241 , G06F17/277 , G06F17/278 , G06F17/2795
摘要： Mechanisms are provide for implementing a context aware abbreviation detection and annotation operation. An instance of a full name of an entity is identified in received content and analysis of a context window associated with the instance of the full name of the entity is performed to identify a presence of a pattern of content representative of an abbreviation. An abbreviation is identified as being present in association with the instance of the full name of the entity based on results of the analysis of the context window and a mapping data structure that maps the full name of the entity to the abbreviation is generated. The received content is annotated based on the mapping data structure to thereby generate abbreviation annotations for the received content. The annotated received content is output for use by a cognitive system to perform a cognitive operation based on the annotated received content.
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公开(公告)号：US20150310096A1
公开(公告)日：2015-10-29
申请号：US14695688
申请日：2015-04-24
发明人： Shenghua Bao , Hong Lei Guo , Zhi Li Guo , Davide Pasetto , Wei Hong Qian , Zhong Su
IPC分类号： G06F17/30
CPC分类号： G06F16/367
摘要： Comparing document contents is provided. An ontological concept is extracted from a text snippet of a corpus document. One or more feature vectors are constructed that include associative information that describes an ontology that includes the focused concept. A topic model is trained using the one or more feature vectors. First and second topic sets are respectively extracted from first and second documents using the topic model. One or more topics from the first topic set are matched, using the topic model, with one or more topics from the second topic set to construct a matched topic set. Semantic analyses are respectively performed on first and second text snippet sets, wherein the first and second text snippet sets are chosen based, at least in part, on the matched topic set. Text snippets are matched based, at least in part, on the first and second semantic analyses.
摘要翻译： 提供比较文件内容。 从语料库文档的文本片段中提取本体论概念。 构造一个或多个特征向量，其包括描述包括聚焦概念的本体的关联信息。 使用一个或多个特征向量训练主题模型。 使用主题模型分别从第一和第二文档提取第一和第二主题集。 使用主题模型与来自第二主题集的一个或多个主题来匹配来自第一主题集的一个或多个主题以构建匹配的主题集。 分别对第一和第二文本片段集执行语义分析，其中，至少部分地基于匹配的主题集来选择第一和第二文本片段集合。 文本片段至少部分地基于第一和第二语义分析进行匹配。
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公开(公告)号：US20170097987A1
公开(公告)日：2017-04-06
申请号：US14874638
申请日：2015-10-05
发明人： Shenghua Bao , Ying Chen , Anshu N. Jain , Cartic Ramakrishnan , Maia A. Smith
CPC分类号： G06F16/3344 , G06F16/338 , G06F17/277 , G06F17/2775 , G06F17/278
摘要： The embodiments relate to generating hierarchical patterns based on a corpus of text. The corpus is analyzed, which includes extracting a set of features of the corpus. A set of grammatical patterns are generated based on the extracted features. The set of grammatical patterns includes at least one grammatical pattern generated from an internal pattern and at least one grammatical pattern generated from an external pattern. The grammatical patterns of the set are organized into a hierarchy and/or are ranked. The hierarchy and/or ranking are visually displayed.
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6.发明授权Method and system for achieving emotional text to speech utilizing emotion tags expressed as a set of emotion vectors 有权使用表达为一组情绪向量的情感标签来实现情感文本到语音的方法和系统公开(公告)号：US09570063B2
公开(公告)日：2017-02-14
申请号：US14807052
申请日：2015-07-23
发明人： Shenghua Bao , Jian Chen , Yong Qin , Qin Shi , Zhiwei Shuang , Zhong Su , Liu Wen , Shi Lei Zhang
摘要： A method and system for achieving emotional text to speech. The method includes: receiving text data; generating emotion tag for the text data by a rhythm piece; and achieving TTS to the text data corresponding to the emotion tag, where the emotion tags are expressed as a set of emotion vectors; where each emotion vector includes a plurality of emotion scores given based on a plurality of emotion categories. A system for the same includes: a text data receiving module; an emotion tag generating module; and a TTS module for achieving TTS, wherein the emotion tag is expressed as a set of emotion vectors; and wherein emotion vector includes a plurality of emotion scores given based on a plurality of emotion categories.
摘要翻译： 用于实现情感文字到语音的方法和系统。 该方法包括：接收文本数据; 通过节奏片产生文本数据的情感标签; 并且对于与情感标签相对应的文本数据实现TTS，其中情感标签被表达为一组情绪向量; 其中每个情绪向量包括基于多个情绪类别给出的多个情感评分。 一种系统，包括：文本数据接收模块; 情感标签生成模块; 以及用于实现TTS的TTS模块，其中所述情感标签被表达为一组情感向量; 并且其中情绪向量包括基于多个情绪类别给出的多个情绪评分。
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公开(公告)号：US11204951B2
公开(公告)日：2021-12-21
申请号：US15049844
申请日：2016-02-22
发明人： Shenghua Bao , Ying Chen , Anshu N. Jain , Cartic Ramakrishnan , Maia A. Smith
IPC分类号： G06F16/33 , G06F40/284 , G06F40/289 , G06F40/295 , G06F16/338
摘要： The embodiments relate to generating hierarchical patterns based on a corpus of text. The corpus is analyzed, which includes extracting a set of features of the corpus. A set of grammatical patterns are generated based on the extracted features. The set of grammatical patterns includes at least one grammatical pattern generated from an internal pattern and at least one grammatical pattern generated from an external pattern. The grammatical patterns of the set are organized into a hierarchy and/or are ranked. The hierarchy and/or ranking are visually displayed.
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公开(公告)号：US10140272B2
公开(公告)日：2018-11-27
申请号：US14866053
申请日：2015-09-25
摘要： Mechanisms are provide for implementing a context aware abbreviation detection and annotation operation. An instance of a full name of an entity is identified in received content and analysis of a context window associated with the instance of the full name of the entity is performed to identify a presence of a pattern of content representative of an abbreviation. An abbreviation is identified as being present in association with the instance of the full name of the entity based on results of the analysis of the context window and a mapping data structure that maps the full name of the entity to the abbreviation is generated. The received content is annotated based on the mapping data structure to thereby generate abbreviation annotations for the received content. The annotated received content is output for use by a cognitive system to perform a cognitive operation based on the annotated received content.
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公开(公告)号：US20140317118A1
公开(公告)日：2014-10-23
申请号：US13865530
申请日：2013-04-18
发明人： Shenghua Bao , David L. Cohn , Yu Deng , HongLei Guo , Qi Hu , Richard B. Hull , Roman Vaculin
IPC分类号： G06F17/30
摘要： A system and method to perform context aware sentiment analysis on a project that includes two or more aspects are described. The method includes identifying one or more inputs related to the project. The method also includes decomposing each of the one or more inputs, based on a content of the one or more comments, into at least one of the two or more aspects to generate one or more comment-aspect sets, each of the two or more aspects representing a context within the project, extracting opinions from each of the comment-aspect sets, and generating a disruptive argument based on the opinions.
摘要翻译： 对包含两个或多个方面的项目执行上下文感知情绪分析的系统和方法进行了描述。 该方法包括识别与项目相关的一个或多个输入。 该方法还包括基于一个或多个注释的内容将一个或多个输入中的每一个分解成两个或更多个方面中的至少一个，以生成一个或多个注释方面集合，其中每一个或两个以上 表示项目背景的方面，从评论方面提出意见，并根据意见产生破坏性论据。
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公开(公告)号：US11157532B2
公开(公告)日：2021-10-26
申请号：US14874638
申请日：2015-10-05
发明人： Shenghua Bao , Ying Chen , Anshu N. Jain , Cartic Ramakrishnan , Maia A. Smith
IPC分类号： G06F16/33 , G06F16/338 , G06F40/284 , G06F40/289 , G06F40/295
摘要： The embodiments relate to generating hierarchical patterns based on a corpus of text. The corpus is analyzed, which includes extracting a set of features of the corpus. A set of grammatical patterns are generated based on the extracted features. The set of grammatical patterns includes at least one grammatical pattern generated from an internal pattern and at least one grammatical pattern generated from an external pattern. The grammatical patterns of the set are organized into a hierarchy and/or are ranked. The hierarchy and/or ranking are visually displayed.
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