Patents by Inventor Kanji Uchino

Kanji Uchino has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20220318640
    Abstract: In an embodiment, operations include receiving first information associated with a first person and a first request of the first person to one or more institutions. A set of attributes of the first person is extracted and used to construct a causal model. The causal model represents causal relationships amongst attributes of the set of attributes. For the first person, a utility function associated with each of a plurality of AI models associated with the one or more institutions is determined. The utility function is determined based on the causal model, a first set of empathy criteria associated with the first person, and a second set of empathy criteria associated with each of the one or more institutions. For the utility function, optimin-point information is determined to reconcile a plurality of decisions taken by the plurality of AI models for the first request. The reconciled decision is rendered.
    Type: Application
    Filed: March 31, 2021
    Publication date: October 6, 2022
    Applicant: FUJITSU LIMITED
    Inventors: Ramya MALUR SRINIVASAN, Kanji UCHINO
  • Publication number: 20220318653
    Abstract: Operations include obtaining a user graph of users of a social network, obtaining a content graph that indicates links between the users and content items interacted with by the users, and obtaining a resource graph that indicates links between the content items and external resources. The operations include generating first user representations, first content representations, and first resource representations. The operations include generating second resource representations based on the first content representations, the first resource representations, and the resource graph; generating second content representations based on the first content representations, the first user representations, the content graph, and the second resource representations; and generating second user representations based on the first user representations, the user graph, the first content representations, and the content graph.
    Type: Application
    Filed: March 31, 2021
    Publication date: October 6, 2022
    Applicant: FUJITSU LIMITED
    Inventors: Jun WANG, Kanji UCHINO
  • Publication number: 20220300736
    Abstract: In an embodiment, operations include extracting first information about a first set of features of a first candidate, from a document or profile information of the first candidate. Second information about a second set of features, corresponding to the first set of features, is extracted from one or more databases. The second set of features is associated with a population of candidates with at least one demographic parameter same as that of the first candidate. A third set of features is determined based on difference of corresponding features from the first set of features and the second set of features. A pre-trained neural network model is applied on the third set of features to determine a set of weights associated with the third set of features. An empathy score of the first candidate is determined based on the set of weights. The empathy score of the first candidate is rendered.
    Type: Application
    Filed: March 17, 2021
    Publication date: September 22, 2022
    Applicant: FUJITSU LIMITED
    Inventors: Ramya MALUR SRINIVASAN, Kanji UCHINO
  • Patent number: 11416534
    Abstract: A method may include obtaining multiple electronic documents and multiple topics associated with the electronic documents. The method may further include determining a similarity between a first topic and a second topic. The first topic may be associated with a first set of electronic documents. The method may further include refining the multiple topics based on the similarity between the first topic and the second topic by associating the first set of the electronic documents with the second topic and removing the first topic from the multiple topics. The method may further include building a document-classifier model by applying machine learning to at least one electronic document associated with each of the refined topics. The method may further include obtaining an electronic document and classifying the electronic document into one of the refined topics using the document-classifier model.
    Type: Grant
    Filed: December 3, 2018
    Date of Patent: August 16, 2022
    Assignee: FUJITSU LIMITED
    Inventors: Jun Wang, Kanji Uchino
  • Publication number: 20220171936
    Abstract: A method includes constructing a hierarchal graph associated with a document. The hierarchal graph includes a document node, a set of paragraph nodes, a set of sentence nodes, and a set of token nodes. The method further includes determining, based on a language attention model, a set of weights associated with a set of edges between a first node and each connected second set of nodes. The method further includes applying a GNN model on the hierarchal graph based on a set of first features associated with each token node, and the set of weights. The method further includes updating a set of features associated with each node based on the application, and generating a document vector for an NLP task, based on the updated set of features. The method further includes displaying an output of the NLP task for the document, based on the document vector.
    Type: Application
    Filed: December 2, 2020
    Publication date: June 2, 2022
    Applicant: FUJITSU LIMITED
    Inventors: Jun WANG, Kanji UCHINO
  • Publication number: 20220121891
    Abstract: Operations may include identifying a plurality of graphs as ground truth graphs in response to each ground truth graph having a heuristic characteristic and being categorized as a first- or second-class graph based on labeling of the graphs with respect to the heuristic characteristic. The operations may include identifying a graph as an unlabeled graph, the graph being unlabeled with respect to the heuristic characteristic. The operations may include comparing the unlabeled graph to the first- and second-class graphs, the comparing being based on the heuristic characteristic and including one or more operations selected from a group of operations including performing similarity matching, model-based heuristics operations, or query analysis operations. The operations may include categorizing the unlabeled graph as a first- or second-class graph based on the comparing. The operations may include training a machine learning model using the ground truth graphs and the previously unlabeled graph.
    Type: Application
    Filed: October 19, 2020
    Publication date: April 21, 2022
    Applicant: FUJITSU LIMITED
    Inventors: Wing Yee AU, Jeffrey Michael FISCHER, Kanji UCHINO
  • Publication number: 20220101187
    Abstract: A method may include obtaining a machine-learning model trained with respect to a subject. The machine-learning model may be based on a plurality of factors that correspond to the subject. The method may include obtaining human provided information regarding the subject. The expert information may indicate relationships between the plurality of factors with respect to how the plurality of factors affect each other. The method may include generating a structural causal model that represents the relationships between the plurality of factors based on the expert information. The method may include identifying, as a confounding factor and based on the structural causal model, a factor of the plurality of factors that causes a confounding bias in the machine-learning model. The method may include estimating the confounding bias based on the identified confounding factor.
    Type: Application
    Filed: September 29, 2020
    Publication date: March 31, 2022
    Applicant: FUJITSU LIMITED
    Inventors: Ramya MALUR SRINIVASAN, Kanji UCHINO
  • Patent number: 11270107
    Abstract: A method includes storing a research paper and a set of candidate resources including media content. The method further includes encoding each of one or more first content fields in the research paper into a first vector based on a first field type associated with each of the one or more first content fields. The method further includes encoding each of one or more second content fields in each of the parsed set of candidate resources into a second vector, based on a second field type associated with each of the one or more second content fields. The method further includes comparing the first vector with the second vector to determine a final set of resources based on the comparison. The method further includes controlling a display screen to output the determined final set of resources and the research paper.
    Type: Grant
    Filed: July 28, 2020
    Date of Patent: March 8, 2022
    Assignee: FUJITSU LIMITED
    Inventors: Jun Wang, Kanji Uchino
  • Patent number: 11269896
    Abstract: A method of automatically estimating the difficulty level of online content. The method includes receiving, by one or more processors, electronic content which is accessible via an online network and which is at least temporarily stored in at least one non-transitory storage media, extracting, by the one or more processors, structural and non-linguistic information from the electronic content. The method further includes extracting, by the one or more processors, linguistic information from the electronic content. The method further includes generating, by the one or more processors, a difficulty estimation for the content based on the structural and non-linguistic information in addition to the linguistic information. The method further includes generating, by the one or more processors, a recommendation of a subset of the electronic content to a user based on the difficulty estimation.
    Type: Grant
    Filed: September 10, 2019
    Date of Patent: March 8, 2022
    Assignee: FUJITSU LIMITED
    Inventors: Jun Wang, Kanji Uchino
  • Publication number: 20220036064
    Abstract: A method includes storing a research paper and a set of candidate resources including media content. The method further includes encoding each of one or more first content fields in the research paper into a first vector based on a first field type associated with each of the one or more first content fields. The method further includes encoding each of one or more second content fields in each of the parsed set of candidate resources into a second vector, based on a second field type associated with each of the one or more second content fields. The method further includes comparing the first vector with the second vector to determine a final set of resources based on the comparison. The method further includes controlling a display screen to output the determined final set of resources and the research paper.
    Type: Application
    Filed: July 28, 2020
    Publication date: February 3, 2022
    Applicant: FUJITSU LIMITED
    Inventors: Jun WANG, Kanji UCHINO
  • Publication number: 20220035870
    Abstract: A method includes seed expansion using Graph Neural Network (GNN). The method includes retrieving a first plurality of seed accounts based on a first user input indicative of domain-specific information associated with the first plurality of seed accounts. The method further includes determining a second plurality of seed accounts based on the first plurality of seed accounts associated with the domain-specific information, for training a GNN. The method further includes updating the retrieved first plurality of seed accounts and the determined second plurality of seed accounts based on the trained GNN. The method further includes generating a final set of seed accounts associated with the domain-specific information, based on an application of a predefined ranking criteria on the updated first plurality of seed accounts and the second plurality of seed accounts. The method further includes controlling a display screen to output the generated final set of seed accounts.
    Type: Application
    Filed: July 28, 2020
    Publication date: February 3, 2022
    Applicant: FUJITSU LIMITED
    Inventors: Jun WANG, Kanji UCHINO
  • Patent number: 11232156
    Abstract: A method includes seed expansion using Graph Neural Network (GNN). The method includes retrieving a first plurality of seed accounts based on a first user input indicative of domain-specific information associated with the first plurality of seed accounts. The method further includes determining a second plurality of seed accounts based on the first plurality of seed accounts associated with the domain-specific information, for training a GNN. The method further includes updating the retrieved first plurality of seed accounts and the determined second plurality of seed accounts based on the trained GNN. The method further includes generating a final set of seed accounts associated with the domain-specific information, based on an application of a predefined ranking criteria on the updated first plurality of seed accounts and the second plurality of seed accounts. The method further includes controlling a display screen to output the generated final set of seed accounts.
    Type: Grant
    Filed: July 28, 2020
    Date of Patent: January 25, 2022
    Assignee: FUJITSU LIMITED
    Inventors: Jun Wang, Kanji Uchino
  • Patent number: 11228505
    Abstract: In an embodiment, operations including extracting a first set of sub-graphs from a first graph. A set of network motifs is extracted from the first graph based on first statistical information associated with the extracted first set of sub-graphs, and a set of network motif instances of the set of network motifs is located. Second statistical information of the set of network motifs is determined based on the set of network motif instances. The second statistical information includes network motif information of a node or edge associated with the set of network motif instances. A graph explanation model is applied on the first graph based on the second statistical information. A first explanation sub-graph for a first class is extracted from the first graph, based on the application of the graph explanation model and a set of regularization constraints. An output representation indicative of the first explanation sub-graph is displayed.
    Type: Grant
    Filed: January 29, 2021
    Date of Patent: January 18, 2022
    Assignee: FUJITSU LIMITED
    Inventors: Jun Wang, Kanji Uchino
  • Patent number: 11145217
    Abstract: Technologies are described to provide autonomous speech and language assessments. In some examples, a method to conduct an autonomous speech and language assessment includes facilitating authoring of an autonomous speech and language assessment. The autonomous speech and language assessment may be interactions between one or more of a conversational module, an analytical module, and a control module, and the interaction may be specified using a visual programming language. The method may also include modeling the autonomous speech and language assessment as a graph using a conversation markup language, and conducting the autonomous speech and language assessment utilizing a conversational virtual agent.
    Type: Grant
    Filed: September 21, 2017
    Date of Patent: October 12, 2021
    Assignee: FUJITSU LIMITED
    Inventors: Cong Chen, Ajay Chander, Kanji Uchino
  • Patent number: 11132421
    Abstract: In an embodiment, operations include crawling a set of web pages and labeling one or more items of a first web page based on user input. Each item corresponds to a node in a first tree data structure of the first web page. The operations further include generating a first extraction rule to extract a first item from the one or more first items. The first extraction rule includes a first path, in the first tree data structure, for a first node of the first item, and includes first visual information of each node in the first path. The operations further include comparing the first visual information in the first path with second visual information of each of a plurality of candidate nodes in a second tree data structure of a second web page and further refining the first extraction rule to generate a second extraction rule.
    Type: Grant
    Filed: September 30, 2020
    Date of Patent: September 28, 2021
    Assignee: FUJITSU LIMITED
    Inventors: Jun Wang, Kanji Uchino, Gang Zou
  • Publication number: 20210264115
    Abstract: According to an aspect of an embodiment, operations may include obtaining multiple electronic documents and obtaining a theme text. The method may also include selecting a seed text based on a semantic similarity between the seed text and the theme text. The method may also include changing a seed weight included in a weight vector that is used in identification of topics of the multiple electronic documents. The changed seed weight may bias the identification of topics of the plurality of electronic documents in favor of the seed text as compared to one or more other text strings of the weight vector. The method may also include generating, a representation of a topic model for display to a user, the topic model may be based on the multiple electronic documents and the weight vector.
    Type: Application
    Filed: February 24, 2020
    Publication date: August 26, 2021
    Applicant: FUJITSU LIMITED
    Inventors: Jun WANG, Kanji UCHINO
  • Publication number: 20210073237
    Abstract: A method of automatically estimating the difficulty level of online content. The method includes receiving, by one or more processors, electronic content which is accessible via an online network and which is at least temporarily stored in at least one non-transitory storage media, extracting, by the one or more processors, structural and non-linguistic information from the electronic content. The method further includes extracting, by the one or more processors, linguistic information from the electronic content. The method further includes generating, by the one or more processors, a difficulty estimation for the content based on the structural and non-linguistic information in addition to the linguistic information. The method further includes generating, by the one or more processors, a recommendation of a subset of the electronic content to a user based on the difficulty estimation.
    Type: Application
    Filed: September 10, 2019
    Publication date: March 11, 2021
    Applicant: FUJITSU LIMITED
    Inventors: Jun WANG, Kanji UCHINO
  • Patent number: 10902024
    Abstract: A method of collecting and organizing online resources may include selecting an item from an electronic document. The method may include extracting data related to the item from the electronic document. The method may include identifying whether a first list that includes the item is associated with the electronic document. The method may include refining the first list in response to an identification of the first list. The method may include generating a second list that includes the item in response to a failure to identify the first list. The method may include verifying that the first list is consistent with a user interest. The method may include saving the first list to an electronic data storage device when the first list is consistent with the user interest. The method may include selecting a second item when the first list is inconsistent with the user interest.
    Type: Grant
    Filed: January 21, 2016
    Date of Patent: January 26, 2021
    Assignee: FUJITSU LIMITED
    Inventors: Jun Wang, Kanji Uchino
  • Patent number: 10896232
    Abstract: A method of generating a recommendation for an item is provided. A method may include receiving search results based on a query for an item. The method may also include identifying a plurality of human-curated lists from the search results, wherein each human-curated list of the plurality of human-curated lists includes a plurality of human-recommended items. Further, the method may include determining, via the at least one processor, one or more scores associated with at least one of the plurality of human-curated lists and the plurality of human-recommended items. The method may further include generating, via the at least one processor, a recommendation including at least one recommended item based on the determined one or more scores. Furthermore, the method may include displaying the recommendation for the item.
    Type: Grant
    Filed: February 23, 2018
    Date of Patent: January 19, 2021
    Assignee: FUJITSU LIMITED
    Inventors: Jun Wang, Kanji Uchino
  • Patent number: 10853429
    Abstract: A method of identifying domain-specific accounts is provided. A method may include identifying a plurality of candidate accounts based on a plurality of seed accounts. The method may further include identifying a subset of candidate accounts of the plurality of candidate accounts based on one more account statistics. Further, the method may include clustering each candidate account of the subset of candidate accounts into either a non-domain-specific cluster or a domain-specific cluster based on a plurality of account statistics. The method may also include updating, at least one of the plurality of candidate accounts and the plurality of seed accounts based on at least one of the non-domain-specific cluster and the domain-specific cluster.
    Type: Grant
    Filed: September 20, 2017
    Date of Patent: December 1, 2020
    Assignee: FUJITSU LIMITED
    Inventors: Jun Wang, Kanji Uchino