Processing audio data
    6.
    发明授权

    公开(公告)号:US11328714B2

    公开(公告)日:2022-05-10

    申请号:US16732778

    申请日:2020-01-02

    Abstract: Processing data for speech recognition by generating hypotheses from input data, assigning each hypothesis, a score according to a confidence level value and hypothesis ranking, executing a pass/fail grammar test against each hypothesis, generating replacement hypotheses according to grammar test failures, assigning each replacement hypothesis a score according to a number of hypothesis changes, and providing a set of hypotheses, wherein the set comprises at least one replacement hypotheses.

    Dynamic faceting for personalized search and discovery

    公开(公告)号:US11216509B2

    公开(公告)日:2022-01-04

    申请号:US16525749

    申请日:2019-07-30

    Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: determining user clusters and navigation-type clusters based on multiple information requests, and training facets and corresponding usefulness factor of the facets from the multiple information requests by machine learning. When a user submits a query, the user and the query is respectively mapped with one of the user clusters and the navigation-type clusters, and the query is customized based on the associated pair of clusters. Results of the query are obtained, ranked by usefulness of the facets as determined according to the pair of clusters, and presented to the user.

    Evaluating retraining recommendations for an automated conversational service

    公开(公告)号:US11075862B2

    公开(公告)日:2021-07-27

    申请号:US16254158

    申请日:2019-01-22

    Abstract: A retraining service accesses conversational logs, each of the conversational logs recording a separate conversation, between a separate user and a conversational service, and at least one outcome identified with the separate conversation. The retraining service assess, from the conversational logs, at least one conversation gap and response with the at least one outcome matching a type of outcome that indicates the response impacted user experience in a negative way from among types of outcomes. The retraining service evaluates one or more recommendations for retraining the response to promote a positive type of outcome from among the types of outcomes. The retraining service outputs the one or more recommendations to the conversational service for directing retraining of the response by the conversational service.

    Analogy outcome determination
    9.
    发明授权

    公开(公告)号:US11074281B2

    公开(公告)日:2021-07-27

    申请号:US16405358

    申请日:2019-05-07

    Abstract: Embodiments relate to a system, program product, and method for use with an intelligent computer platform to decipher analogical phrases. The method identifies A category is identified and a list of definitions is created for each parsed subcomponent of the phrase. The definitions are ranked in the list based on their relevance to the identified category and an outcome is identified based on the ranked relevance. A corpus is searched for evidence of an analogical pattern associated with the ranked list and each entry in the ranked list is scored based on congruence with the analogical pattern. An outcome is generated based on the scoring and is representative of the definition with the strongest congruence to the analogical pattern.

    Classifying digital documents in multi-document transactions based on embedded dates

    公开(公告)号:US11017221B2

    公开(公告)日:2021-05-25

    申请号:US16024891

    申请日:2018-07-01

    Abstract: A classifier receives a document from a multi-document transaction. The classifier analyzes the document to identify one or more embedded dates in the content of the document and context of one or more positions of the one or more embedded dates in the document. The classifier evaluates each of the one or more embedded dates based on the separate context of each of the one or more positions within the document and a relative age of the one or more embedded dates in view of temporal characteristics of multiple categories of documents of a transaction to select a particular category associated with the document from among the multiple categories. The classifier classifies the document within the transaction as a particular logical type identified by the particular category from among multiple logical types.

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