INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND COMPUTER READABLE RECORDING MEDIUM

    公开(公告)号:US20210191986A1

    公开(公告)日:2021-06-24

    申请号:US16498801

    申请日:2018-02-26

    Abstract: An information processing apparatus (10) includes: a formal language query accepting unit (12) that accepts a query expression and correct answer data; a semi-structured data accepting unit (14) that accepts semi-structured data that includes text nodes; a node text extraction unit (16) that extracts natural language text from the text node, as node text; a node text expression generation unit (18) that receives the node text from the a converter (100) and obtains node text expressions; an answer calculation unit (20) that calculates an answer to the query expression with use of the node text expressions; and an update unit (22) that, if the answer calculated by the answer calculation unit (20) matches the correct answer data, updates parameters in the converter (100) such that the corresponding node text expression is more likely to be output in the converter (100).

    FAILURE OCCURRENCE CAUSE EXTRACTION DEVICE, FAILURE OCCURRENCE CAUSE EXTRACTION METHOD, AND FAILURE OCCURRENCE CAUSE EXTRACTION PROGRAM
    2.
    发明申请
    FAILURE OCCURRENCE CAUSE EXTRACTION DEVICE, FAILURE OCCURRENCE CAUSE EXTRACTION METHOD, AND FAILURE OCCURRENCE CAUSE EXTRACTION PROGRAM 审中-公开
    故障发生原因提取设备,故障发生引起提取方法,故障发生引起提取程序

    公开(公告)号:US20150332148A1

    公开(公告)日:2015-11-19

    申请号:US14417596

    申请日:2013-07-09

    Abstract: The present invention is capable of accurately and easily extracting a failure and a cause of occurrence of the failure on the basis of past cases. The present invention is provided with: a document storage unit (51) which stores a plurality of documents; a cause knowledge storage unit (52) which stores knowledge on cause containing expressions that represents a cause of acts and phenomena; a malfunction extraction unit (41) which extracts a malfunction expression from past cases represented by documents containing a question about a malfunction and an answer thereto; a possible cause extraction unit (42) which extracts, as an expression of a possible cause, an expression of a predetermined unit appearing in the past case from which the malfunction expression is extracted; a related document extraction unit (43) that extracts related documents regarding the expression of the possible cause and the malfunction expression, from the document storage unit; and a cause expression extraction unit (44) that selects a cause expression representing the cause of the malfunction from the expression of the possible cause, by using the related document and the knowledge on cause.

    Abstract translation: 本发明能够根据过去的情况准确,容易地提取故障和发生故障的原因。 本发明提供有:存储多个文档的文档存储单元(51); 存储代表行为和现象的原因的表达的知识的原因知识存储单元(52); 故障提取单元(41)从包含关于故障和其答案的问题的文档表示的过去情况中提取故障表达; 作为表示可能的原因的可能原因提取单元(42)提取出从故障表达式提取出现的预定单元的表达; 从文件存储单元提取关于可能的原因和故障表达的表达的相关文档的相关文档提取单元(43); 以及通过使用相关文档和原因知识,从表达可能原因中选择表示故障原因的原因表达的原因表达提取单元(44)。

    PROCESSING DEVICE, PROCESSING METHOD, AND NON-TRANSITORY COMPUTER READABLE MEDIUM STORING PROGRAM

    公开(公告)号:US20240013028A1

    公开(公告)日:2024-01-11

    申请号:US18027299

    申请日:2020-10-06

    CPC classification number: G06N3/042

    Abstract: A processing device includes: an entity pre-processing means for receiving a set of atoms, the atom indicating a combination of a predicate and an associative array of entities that are arguments of the predicate, and calculating for each of the entities an entity feature vector for each of the entities, the vector reflecting a correspondence between keys and the entity in the associative array; and a post-processing means for receiving a query indicating contents of processing, and executing the processing indicated by the query using the entity feature vector.

    ABDUCTIVE INFERENCE DEVICE, ABDUCTIVE INFERENCE METHOD, AND COMPUTER-READABLE MEDIUM

    公开(公告)号:US20210125090A1

    公开(公告)日:2021-04-29

    申请号:US17254945

    申请日:2019-02-18

    Abstract: The abductive inference device includes a hypothesis generation unit for creating a set of candidate hypotheses, observed information including a hypothesis from which a logical expression is derived based on a knowledge database including knowledge information expressing the logical expression for deriving a consequent from an antecedent, a conversion unit for calculating a constraint condition for the created set of candidate hypotheses and a weight for the constraint condition in accordance with predetermined processing; and a solver unit for calculating a hypothesis when a predetermined condition is satisfied based on the calculated constraint condition and the calculated weight.

    PARAMETER LEARNING APPARATUS, PARAMETER LEARNING METHOD, AND COMPUTER READABLE RECORDING MEDIUM

    公开(公告)号:US20220222442A1

    公开(公告)日:2022-07-14

    申请号:US17614646

    申请日:2019-05-31

    Abstract: A parameter learning apparatus 100 extracts one entity in a document and a related text representation as a one-term document fact, outputs a one-term partial predicate fact including only the one entity using a predicate fact that includes entities and a predicate, calculates a first one-term score indicating the degree of establishment of the one-term document fact using a one-term partial predicate feature vector, a one-term text representation feature vector, and a one-term entity feature vector that are calculated from parameters, calculates a second one-term score with respect to a combination of one entity and a predicate or a text representation that is not extracted as the one-term partial predicate fact, updates the parameters such that the first one-term score is higher than the second one-term score, and calculates a score indicating the degree of establishment of the predicate fact and a score indicating the degree of establishment of a combination of entities and a predicate that is not obtained as the predicate fact using these scores.

    INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND RECORDING MEDIUM

    公开(公告)号:US20230316107A1

    公开(公告)日:2023-10-05

    申请号:US18022720

    申请日:2020-08-27

    CPC classification number: G06N5/025

    Abstract: In an information processing device, an observation data input means receives a pair of observation data and a predicted value of a target model for the observation data. A rule set input means receive a rule set including a plurality of rules, the rule including a pair of a condition and a predicted value corresponding to the condition. A satisfying rule selection means selects a satisfying rule from the rule set, the satisfying rule being a rule in which the condition becomes true for the observation data. An error calculation means calculates an error between a predicted value of the satisfying rule for the observation data and the predicted value of the target model. A surrogate rule determination means associates the rule which minimizes the error, among the satisfying rules, with the observation data as a surrogate rule for the target model.

    DECISION LIST LEARNING DEVICE, DECISION LIST LEARNING METHOD, AND DECISION LIST LEARNING PROGRAM

    公开(公告)号:US20210350260A1

    公开(公告)日:2021-11-11

    申请号:US17277520

    申请日:2018-09-21

    Abstract: The input unit 81 receives a set of rules each including a condition and a prediction, and pairs of observed data and correct answers. The stochastic decision list generator 82 assigns each rule in the set of rules to a plurality of positions in the decision list with a degree of occurrence indicating occurrence degree. The learning unit 83 updates a parameter determining the degree of occurrence so that a difference between an integrated prediction acquired by integrating, based on the degree of occurrence, the predictions of the rules whose conditions are satisfied by the observed data and the correct answer becomes small.

    INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND COMPUTER-READABLE RECORDING MEDIUM

    公开(公告)号:US20210157987A1

    公开(公告)日:2021-05-27

    申请号:US16613502

    申请日:2018-05-14

    Abstract: An information processing apparatus (10) includes a speech act formula generation unit (12) and an adjacency pair extraction unit (14). Dialogue text described in natural language is input to the speech act formula generation unit (12). The adjacency pair extraction unit (14) extracts, using preset pair information, pairs of speech act formulas that indicate adjacency pairs, from a plurality of speech act formulas generated by the speech act formula generation unit (12). Specifically, the adjacency pair extraction unit (14) extracts, as a pair of speech act formulas indicating an adjacency pair, a speech act formula generated from an arbitrary utterance text passage in the dialog text and one of a plurality of speech act formulas generated from a plurality of other utterance text passages, the one speech act formula including a predicate that forms a predicate pair with a predicate included in the arbitrary speech act formula.

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