专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明申请

US20210271821A1 OPTIMIZED DOCUMENT SCORE SYSTEM USING SENTENCE STRUCTURE ANALYSIS FUNCTION 有权
公开(公告)号：US20210271821A1
公开(公告)日：2021-09-02
申请号：US16806340
申请日：2020-03-02
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Kohichi Kamijoh , Miki Ishikawa , Sachiko Yoshihama , Issei Yoshida , Yohei Ikawa
IPC分类号： G06F40/30 , G06F40/253 , G06F40/166 , G06N20/00 , G06N5/04
摘要： A method is provided for determining support of a hypothesis by opinion sentences. The method converts sentence structures in the opinion sentences using various sentence structure conversion methods to obtain converted opinion sentences. For each converted opinion sentence, the method calculates a difference between a proximity label value indicating proximity to the hypothesis and an intermediate score before and after a conversion, adopts the conversion responsive to a condition being met relative to the difference, and adopts the opinion sentence instead responsive to the condition being unmet. The method creates sub-opinions using the various methods applied to adopted conversions and opinion sentences, and obtains an intermediate score for each sub-opinion. The method represents an amount of support for the hypothesis by obtaining and displaying a final score for each adopted conversions and opinion sentences based on the intermediate scores for the sub-opinions and for adopted conversions and opinion sentences.

2. 发明授权

US10929617B2 Text analysis in unsupported languages using backtranslation 有权
公开(公告)号：US10929617B2
公开(公告)日：2021-02-23
申请号：US16040818
申请日：2018-07-20
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Kohichi Kamijoh , Tetsuya Nasukawa , Yohei Ikawa , Masaki Ono
IPC分类号： G06F40/58 , G06F40/30 , G06F40/253 , G06Q30/02 , G06F40/51
摘要： Text analysis includes determining one or more global analysis parameters based on backtranslation of a first corpus between supported languages. A new text analysis model is determined for an unsupported language based on the one or more global analysis parameters and a text analysis model for a first supported language. An input text is analyzed in the unsupported language with the new text analysis model.

3. 发明授权

US10356186B2 Method, computer program and computer for estimating location based on social media 有权
公开(公告)号：US10356186B2
公开(公告)日：2019-07-16
申请号：US15881155
申请日：2018-01-26
申请人： International Business Machines Corporation
发明人： Miki Enoki , Yohei Ikawa , Michiaki Tatsubori , Yuto Yamaguchi
IPC分类号： G06F15/16 , H04L29/08 , H04L12/58 , G06F16/9537
摘要： A system and method to estimate a location relating to a user who has not filled in information about the location in a profile field in social media such as a microblog. The system and method estimates association between a user in social media and a location includes the steps of acquiring a first content posted to the social media by a first user associated with a first location, determines regional localization of the first content on the basis of the first location, acquires a second content posted to the social media by a second user not associated with a location, determine the degree of a relationship between the first content and the second content, and associating the first location with the second user on the basis of the localization and the degree of the relationship.

4. 发明申请

US20180349486A1 DETERMINATION OF EXPERTNESS LEVEL FOR A TARGET KEYWORD 审中-公开
公开(公告)号：US20180349486A1
公开(公告)日：2018-12-06
申请号：US16055543
申请日：2018-08-06
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Yohei Ikawa , Shoko Suzuki
IPC分类号： G06F17/30
CPC分类号： G06F17/30705
摘要： A method, a computer system, and a computer program product for selecting electronic documents based on an expertness level for a target keyword. The method includes identifying a Lowest Common Ancestor (LCA) for each pair of categories to which documents in a document set belong based on a graph having edges which define relationships between nodes representing respective ones of the categories, the document set being associated with a target keyword, obtaining a degree of dispersion of the categories based on respective distances between the categories of each pair and the corresponding LCA, determining an expertness level for the target keyword based on the degree of dispersion, and in response to receiving a search query including the target keyword, selecting one or more documents from a database based on the expertness level for the target keyword.

5. 发明申请

US20170154106A1 METHOD, COMPUTER PROGRAM AND COMPUTER FOR DETECTING COMMUNITIES IN SOCIAL MEDIA 审中-公开
公开(公告)号：US20170154106A1
公开(公告)日：2017-06-01
申请号：US15430767
申请日：2017-02-13
申请人： International Business Machines Corporation
发明人： Miki Enoki , Yohei Ikawa , Raymond Harry Rudy
IPC分类号： G06F17/30 , H04L29/08 , H04L12/58
CPC分类号： G06F17/30705 , G06F17/30 , G06F17/30554 , G06F17/30598 , G06F17/30867 , G06F17/30943 , G06F17/30991 , G06Q50/01 , H04L51/32 , H04L67/306
摘要： The present invention provides at least a method includes: extracting a plurality of partial communities from a plurality of users, based on the relationships of companion messages; computing a first degree of similarity for showing the similarity of the companion partial communities, based on the relationship of a user belonging to one partial community with a user belonging to the other partial community, from among the plurality of communities; computing a second degree of similarity for showing the similarity of companion partial communities, based on words within the messages sent by users belonging to both partial communities and under the condition that the first similarity be higher than a predetermined first threshold value; and creating an integrated community by integrating the companion partial communities under the condition that the second similarity be higher than a predetermined second threshold value.

6. 发明申请

US20170060983A1 DETERMINATION OF EXPERTNESS LEVEL FOR A TARGET KEYWORD 审中-公开
标题翻译：确定目标关键词专业水平
公开(公告)号：US20170060983A1
公开(公告)日：2017-03-02
申请号：US14841367
申请日：2015-08-31
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Yohei Ikawa , Shoko Suzuki
IPC分类号： G06F17/30
CPC分类号： G06F17/30705
摘要： A method, a computer system, and a computer program product for determining an expertness level for a target keyword. The method includes preparing a document set associated with the target keyword, identifying, for each document in the document set, a category to which the document in the document set belongs, and determining an expertness level for the target keyword, based on a degree of dispersion of the identified categories. Each document in the document set may be associated with a category, and a graph which defines relations among the identified categories is generated from the identified categories to obtain the degree of dispersion of the identified categories. On condition that the degree of dispersion is lower, the expertness level for the target keyword may be determined to be higher or a higher expertness level is assigned to the target keyword.
摘要翻译：一种用于确定目标关键词的专业级别的方法，计算机系统和计算机程序产品。所述方法包括准备与所述目标关键字相关联的文档集合，为所述文档集合中的每个文档识别所述文档集中的所述文档所属的类别，并且基于所述目标关键字的程度来确定所述目标关键字的专业级别分类识别类别。文档集中的每个文档可以与类别相关联，并且从所识别的类别生成定义所识别的类别之间的关系的图，以获得所识别的类别的分散程度。在分散度较低的情况下，可以将目标关键词的专业级别确定为较高，或者将较高的专业级别分配给目标关键字。

7. 发明申请

US20130253916A1 EXTRACTING TERMS FROM DOCUMENT DATA INCLUDING TEXT SEGMENT 有权
标题翻译：从包含文本分段的文档数据中提取条款
公开(公告)号：US20130253916A1
公开(公告)日：2013-09-26
申请号：US13899020
申请日：2013-05-21
申请人： International Business Machines Corporation
发明人： Yohei Ikawa , Shiho Negishi , Hironori Takeuchi
IPC分类号： G06F17/28
CPC分类号： G06F17/28 , G06F17/277 , G06F17/30719
摘要： A computer system, method, and article of manufacture for extracting a term from electronic document data that includes a text segment. The system includes: a first extraction unit that uses a first text processing information to extract a noun word from the document data; a second extraction unit that uses a second text processing information to extract a term candidate in relation to the noun word or a corpus that includes text data described in the same language used in the document data; a weight assignment unit that uses a third text processing information to select which type to assign a weight from the plurality of types and assigns the weight to the selected type for each noun word and term candidate; a determination unit that determines the type to which the noun word and term candidate belong; and an output unit to output the noun word and term candidate.
摘要翻译：一种用于从包括文本段的电子文档数据中提取术语的计算机系统，方法和制品。该系统包括：第一提取单元，其使用第一文本处理信息从文档数据中提取名词单词; 第二提取单元，其使用第二文本处理信息来提取关于名词单词或包含文档数据中使用的相同语言描述的文本数据的语料库的词语候选者; 权重分配单元，其使用第三文本处理信息来选择从多个类型分配权重的类型，并且为每个名词词和词语候选者分配权重到所选择的类型; 确定单元，其确定名词词和词语候选所属的类型; 以及输出单元，用于输出名词单词和词语候选。

8. 发明申请

US20210326533A1 ESTIMATING OUTPUT CONFIDENCE FOR BLACK-BOX API 有权
公开(公告)号：US20210326533A1
公开(公告)日：2021-10-21
申请号：US16853420
申请日：2020-04-20
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Yohei Ikawa , Issei Yoshida , Sachiko Yoshihama , Miki Ishikawa , Kohichi Kamijoh
IPC分类号： G06F40/289 , G06F40/247 , G06K9/62
摘要： A computer-implemented method is provided for estimating output confidence of a black box Application Programming Interface (API). The method includes generating paraphrases for an input text. The method further includes calculating a distance between the input text and each respective one of the paraphrases. The method also includes sorting the paraphrases in ascending order of the distance. The method additionally includes selecting a top predetermined number of the paraphrases. The method further includes inputting the input text and the selected paraphrases into the API to obtain an output confidence score for each of the input text and the selected paraphrases. The method also includes estimating, by a hardware processor, the output confidence of the input text from a robustness of output scores of the input text and the selected paraphrases.

9. 发明申请

US20200167398A1 APPARATUS FOR WEBPAGE SCORING 审中-公开
公开(公告)号：US20200167398A1
公开(公告)日：2020-05-28
申请号：US16778224
申请日：2020-01-31
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Yohei Ikawa
IPC分类号： G06F16/958 , G06F16/2457 , G06F16/901 , G06F16/951
摘要： A computer-implemented method, apparatus, and computer program product for evaluating a page in a website are provided. The method includes obtaining a link structure of the website. The method also includes identifying a page set, the page set being a set of pages linked to a specific page in the website. The method further includes calculating a degree of dispersion of the page set in the link structure. The method also includes evaluating the specific page using the degree of dispersion to generate a score for the specific page.

10. 发明授权

US10528523B2 Validation of search query in data analysis system 有权
公开(公告)号：US10528523B2
公开(公告)日：2020-01-07
申请号：US15609246
申请日：2017-05-31
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Yohei Ikawa , Daisuke Takuma
IPC分类号： G06F17/00 , G06F16/14 , G06F16/438 , G06F16/487 , G06F16/48 , G06F16/2455
摘要： A computer-implemented method for checking a search query used for retrieving information from a collection of records in an event sequence analysis system is disclosed. The method includes receiving a search query including a plurality of predicates and one or more constraints each associated with plural predicates, in which each predicate is specified to be positive or negative, and the plurality of the predicates forms a logical graph together with the one or more constraints. The method also includes generating from the graph a subgraph including one or more predicates specified to be positive among the plurality of the predicates. The method further includes determining whether the subgraph has plural components or not, and invalidating the search query in response to the subgraph being determined to have plural components.

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式