Generating summary content using supervised sentential extractive summarization

    公开(公告)号:US11232263B2

    公开(公告)日:2022-01-25

    申请号:US16534366

    申请日:2019-08-07

    Applicant: Adobe Inc.

    Abstract: Certain embodiments involve a method for generating a summary. The method includes one or more processing devices performing operations including generating a set of word embeddings corresponding to each word of a text input. The operations further include generating a set of selection probabilities corresponding to each word of the text input using the respective word embeddings. Further, the operations include calculating a set of sentence saliency scores for a set of sentences of the text input using respective selection probabilities of the set of selection probabilities for each word of the text input. Additional, the operations include generating the summary of the text input using a subset of sentences from the set of sentences with greatest sentence saliency scores from the set of sentence saliency scores.

    Low-resource sentence compression system

    公开(公告)号:US11263394B2

    公开(公告)日:2022-03-01

    申请号:US16530875

    申请日:2019-08-02

    Applicant: ADOBE INC.

    Abstract: Embodiments of the present invention provide systems, methods, and computer storage media for sentence compression in which a provided sentence is compressed to fit within an allotted space. Portions of the input sentence are copied to generate the compressed sentence. Upon receipt of a sentence, top candidate compressed sentences may be determined based on probabilities of segments of the input sentence to be included in a potential compressed sentence. The top candidate compressed sentences are re-ranked based on grammatical accuracy scores for each of the candidate compressed sentences using a language model trained using linguistic features of words and/or phrases. The highest scoring candidate compressed sentence may be presented to the user.

    GENERATING SUMMARY CONTENT USING SUPERVISED SENTENTIAL EXTRACTIVE SUMMARIZATION

    公开(公告)号:US20210042391A1

    公开(公告)日:2021-02-11

    申请号:US16534366

    申请日:2019-08-07

    Applicant: Adobe Inc.

    Abstract: Certain embodiments involve a method for generating a summary. The method includes one or more processing devices performing operations including generating a set of word embeddings corresponding to each word of a text input. The operations further include generating a set of selection probabilities corresponding to each word of the text input using the respective word embeddings. Further, the operations include calculating a set of sentence saliency scores for a set of sentences of the text input using respective selection probabilities of the set of selection probabilities for each word of the text input. Additional, the operations include generating the summary of the text input using a subset of sentences from the set of sentences with greatest sentence saliency scores from the set of sentence saliency scores.

    LOW-RESOURCE SENTENCE COMPRESSION SYSTEM

    公开(公告)号:US20210034699A1

    公开(公告)日:2021-02-04

    申请号:US16530875

    申请日:2019-08-02

    Applicant: ADOBE INC.

    Abstract: Embodiments of the present invention provide systems, methods, and computer storage media for sentence compression in which a provided sentence is compressed to fit within an allotted space. Portions of the input sentence are copied to generate the compressed sentence. Upon receipt of a sentence, top candidate compressed sentences may be determined based on probabilities of segments of the input sentence to be included in a potential compressed sentence. The top candidate compressed sentences are re-ranked based on grammatical accuracy scores for each of the candidate compressed sentences using a language model trained using linguistic features of words and/or phrases. The highest scoring candidate compressed sentence may be presented to the user.

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