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公开(公告)号:US11281721B2
公开(公告)日:2022-03-22
申请号:US16691907
申请日:2019-11-22
Applicant: International Business Machines Corporation
Inventor: Sui Jun Tong , Wen Sun , Yi Qin Yu , Eryu Xia , Yong Qin
IPC: G06F16/901 , G06F16/903 , G06F16/28
Abstract: Techniques for augmenting relational databases with graph database capabilities are described. A graph database query requesting data from a graph database is received. The graph database includes a plurality of vertices and a plurality of edges. The graph database query is translated into a relational database query using one or more computer processors. The relational database query references a vertex table and an edge table in a relational database. Result data corresponding with the graph database query is retrieved from the relational database by executing the relational database query against the relational database.
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公开(公告)号:US10607601B2
公开(公告)日:2020-03-31
申请号:US15592773
申请日:2017-05-11
Applicant: International Business Machines Corporation
Inventor: Feng Jin , Wen Liu , Li Jun Ma , Peng Cheng P P Zhu , Yong Qin , Qin Shi , Shi Lei Zhang
IPC: G10L15/12 , G10L15/197 , G10L15/187 , G10L15/08 , G10L15/18
Abstract: Speech recognition is performed by receiving a speech signal that includes spoken phones. A dynamic time warping procedure is applied to the received speech signal to generate a time-warped signal. The time-warped signal is compared to a plurality of stored reference patterns to identify a set of stored reference patterns that are most similar to the time-warped signal. A candidate hot word is selected from a list using the identified set of stored reference patterns. The selection of the candidate hot word is then refined.
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23.
公开(公告)号:US20190122071A1
公开(公告)日:2019-04-25
申请号:US15791821
申请日:2017-10-24
Applicant: International Business Machines Corporation
Abstract: Techniques are described that facilitate automatically distinguishing between different expressions of a same or similar emotion. In one embodiment, a computer-implemented is provided that comprises partitioning, by a device operatively coupled to a processor, a data set comprising facial expression data into different clusters of the facial expression data based on one or more distinguishing features respectively associated with the different clusters, wherein the facial expression data reflects facial expressions respectively expressed by people. The computer-implemented method can further comprise performing, by the device, a multi-task learning process to determine a final number of the different clusters for the data set using a multi-task learning process that is dependent on an output of an emotion classification model that classifies emotion types respectively associated with the facial expressions.
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公开(公告)号:US20180137137A1
公开(公告)日:2018-05-17
申请号:US15352842
申请日:2016-11-16
Applicant: International Business Machines Corporation
IPC: G06F17/30
Abstract: Techniques are provided for generating recommended query terms that are specialized to a topic of desired information based on a query associated with a user. In one example, a computer-implemented method comprising selecting, by a system operatively coupled to a processor, a coarse cluster of corpus terms having a defined relatedness to a query associated with a user from a plurality of coarse clusters of corpus terms; and determining, by the system, a plurality of candidate terms from search results associated with the query. The computer-implemented method can also comprise determining, by the system, at least one recommended query term based on refined clusters of the coarse cluster, the candidate terms, and the query; and displaying, by the system, the at least one recommended query term on a display device associated with the query.
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公开(公告)号:US20170357852A1
公开(公告)日:2017-12-14
申请号:US15177728
申请日:2016-06-09
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor: Ke Ke Cai , Hong Lei Guo , Zhi Li Guo , Feng Jin , Yong Qin , Zhong Su
CPC classification number: G06K9/00483 , G06F17/2785 , G06K9/00469 , G06K9/6215
Abstract: Embodiments of the present disclosure relate to non-sequential document comparison. A first plurality of segments in a first document and a second plurality of segments in a second document are obtained. In response to a first segment from the first plurality of segments being associated with a second segment from the second plurality of segments, a third segment from the first plurality of segments is associated with a fourth segment from the second plurality of segments.
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公开(公告)号:US09484031B2
公开(公告)日:2016-11-01
申请号:US14027664
申请日:2013-09-16
Applicant: International Business Machines Corporation
Inventor: Sheng Hua Bao , Jian Chen , Wen Liu , Yong Qin , Qin Shi , Zhong Su , Shi Lei Zhang
CPC classification number: G10L15/26 , G06F17/24 , G06F17/273 , G06F17/2863 , G10L15/22 , G10L15/265 , G10L2015/025
Abstract: The present invention relates to voice processing and provides a method and system for correcting a text. The method comprising: determining a target text unit to be corrected in a text; receiving a reference voice segment input by the user for the target text unit; determining a reference text unit whose pronunciation is similar to a word in the target text unit based on the reference voice segment; and correcting the word in the target text unit in the text by the reference text unit. The present invention enables the user to easily correct errors in the text vocally.
Abstract translation: 本发明涉及语音处理,并且提供了一种用于校正文本的方法和系统。 该方法包括:确定要在文本中校正的目标文本单元; 接收用户为目标文本单元输入的参考语音段; 基于所述参考语音段确定其发音类似于所述目标文本单元中的单词的参考文本单元; 并且通过参考文本单元来校正文本中的目标文本单元中的单词。 本发明使用户能够容易地纠正文本中的错误错误。
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公开(公告)号:US09210263B2
公开(公告)日:2015-12-08
申请号:US14682171
申请日:2015-04-09
Applicant: International Business Machines Corporation
Inventor: Fan Ping Meng , Yong Qin , Qin Shi , Zhi Wei Shuang
CPC classification number: H04M3/4936 , H04M3/42221 , H04M3/5166 , H04M2203/2011
Abstract: A method, information processing system, and computer program storage product for automatically generating auditory archives in a customer service environment are disclosed. A communication link with an end user is established. An information form is retrieved. The information form includes at least a category choice information set and at least one audio recoding information set. The end user is prompted to answer a set of questions based on information in the information form. A data set associated with each answer to each question in the set of questions given by the end user is stored. The data is stored under a set of fields corresponding to a question. Each data set stored under the set of fields for each question in the set of questions are combined with each other. An audio archive file is generated including the data sets that have been combined.
Abstract translation: 公开了一种在客户服务环境中自动生成听觉档案的方法,信息处理系统和计算机程序存储产品。 建立与终端用户的通信链路。 检索一个信息表单。 所述信息表格至少包括类别选择信息集和至少一个音频重新编码信息集。 提示最终用户基于信息表单中的信息来回答一组问题。 存储与最终用户给出的一组问题中的每个问题的每个答案相关联的数据集。 数据存储在与问题相对应的一组字段下。 存储在该组问题中的每个问题的字段集下的每个数据集彼此组合。 生成包括已组合的数据集的音频档案文件。
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公开(公告)号:US11514091B2
公开(公告)日:2022-11-29
申请号:US16241000
申请日:2019-01-07
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor: Ke Wang , Pei Ni Liu , Wen Sun , Jing Min Xu , Songfang Huang , Yong Qin
Abstract: Methods and systems for processing records include extracting feature vectors from words in an unstructured portion of a record. The feature vectors are weighted based similarity to a topic vector from a structured portion of the record associated with the unstructured portion. The weighted feature vectors are classified using a machine learning model to determine respective probability vectors that assign a probability to each of a set of possible relations for each feature vector. Relations between entities are determined within the record based on the probability vectors. An action is performed responsive to the determined relations.
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公开(公告)号:US20210157850A1
公开(公告)日:2021-05-27
申请号:US16691907
申请日:2019-11-22
Applicant: International Business Machines Corporation
Inventor: Sui Jun Tong , WEN SUN , YI QIN YU , Eryu Xia , Yong Qin
IPC: G06F16/901 , G06F16/28 , G06F16/903
Abstract: Techniques for augmenting relational databases with graph database capabilities are described. A graph database query requesting data from a graph database is received. The graph database includes a plurality of vertices and a plurality of edges. The graph database query is translated into a relational database query using one or more computer processors. The relational database query references a vertex table and an edge table in a relational database. Result data corresponding with the graph database query is retrieved from the relational database by executing the relational database query against the relational database.
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30.
公开(公告)号:US10963756B2
公开(公告)日:2021-03-30
申请号:US16587701
申请日:2019-09-30
Applicant: International Business Machines Corporation
Abstract: Techniques are described that facilitate automatically distinguishing between different expressions of a same or similar emotion. In one embodiment, a computer-implemented is provided that comprises partitioning, by a device operatively coupled to a processor, a data set comprising facial expression data into different clusters of the facial expression data based on one or more distinguishing features respectively associated with the different clusters, wherein the facial expression data reflects facial expressions respectively expressed by people. The computer-implemented method can further comprise performing, by the device, a multi-task learning process to determine a final number of the different clusters for the data set using a multi-task learning process that is dependent on an output of an emotion classification model that classifies emotion types respectively associated with the facial expressions.
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