Aspect-driven multi-document summarization

    公开(公告)号:US11087089B2

    公开(公告)日:2021-08-10

    申请号:US16152553

    申请日:2018-10-05

    Applicant: SAP SE

    Abstract: Methods, systems, and computer-readable storage media for generating document representations of documents in a set of documents based on sentence embeddings that are provided using a recurrent neural network (RNN) encoder, each document including an electronic document, generating aspect representations based on sentences included in documents of the set of documents, and comment documents in a set of comment documents, determining a first topic representation based on the document representations, determining a second topic representation based on aspect saliences with respect to the first topic representation, calculating salience scores, each salience score associated with a respective sentence, and calculated based on a set of initial salience scores, and a respective aspect salience score, and generating a summary of the set of documents based on the salience scores, the summary including one or more sentences included in documents of the set of documents.

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