FEDERATED SYSTEM AND METHOD FOR ANALYZING LANGUAGE COHERENCY, CONFORMANCE, AND ANOMALY DETECTION

    公开(公告)号:US20230161958A1

    公开(公告)日:2023-05-25

    申请号:US17990025

    申请日:2022-11-18

    发明人: Joel M. HRON, II

    IPC分类号: G06F40/237 G06F16/35

    CPC分类号: G06F40/237 G06F16/35

    摘要: Aspects of the present disclosure involve systems and methods for evaluating or comparing a given piece of text or document against many corpuses of text or documents located on sources which may be the same and importantly may also be different from the text of interest in a tensorized manner and aggregating the coherence/anomaly score against some or all of the entire corpus. This joining of multiple data sources for evaluating the given piece or text may be a “federated” system as disparate data sources, each of which may contain confidential or otherwise private information, may be considered as a single repository of texts or documents. The systems and methods provide for a coherency and/or anomaly check of a piece of text of a document against similar pieces of text to determine a similarity of the piece of text to a large corpus of documents stored in disparate locations.

    Generating neural network outputs using insertion commands

    公开(公告)号:US11657277B2

    公开(公告)日:2023-05-23

    申请号:US16883772

    申请日:2020-05-26

    申请人: Google LLC

    摘要: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing sequence modeling tasks using insertions. One of the methods includes receiving a system input that includes one or more source elements from a source sequence and zero or more target elements from a target sequence, wherein each source element is selected from a vocabulary of source elements and wherein each target element is selected from a vocabulary of target elements; generating a partial concatenated sequence that includes the one or more source elements from the source sequence and the zero or more target elements from the target sequence, wherein the source and target elements arranged in the partial concatenated sequence according to a combined order; and generating a final concatenated sequence that includes a finalized source sequence and a finalized target sequence, wherein the finalized target sequence includes one or more target elements.