公开(公告)号：US20200159863A1

公开(公告)日：2020-05-21

申请号：US16196008

申请日：2018-11-20

Applicant: SAP SE

Inventor： Wenya Wang ,  Daniel Dahlmeier ,  Sinno Jialin Pan

IPC: G06F17/30 ,  G06F17/27

Abstract: Methods, systems, and computer-readable storage media for receiving input data including a set of sentences, each sentence including computer-readable text as a sequence of tokens, providing a memory network with coupled attentions (MNCA), the coupled attentions including an aspect attention and an opinion attention that are coupled by tensor operators for each sentence in the set of sentences, processing the input data through the MNCA to identify a set of aspect terms, and a set of opinion terms, and simultaneously assign a category to each aspect term and each opinion term from a set of categories, and outputting the set of aspect terms with respective categories, and the set of opinion terms with respective categories.

公开(公告)号：US11281989B2

公开(公告)日：2022-03-22

申请号：US15451428

申请日：2017-03-07

Applicant: SAP SE

Inventor： Daniel Hermann Richard Dahlmeier ,  Ruidan He ,  Wenya Wang ,  Kham Sian Mung ,  Mohamed Yusuf Abdul Gafoor ,  Yi Qing Isaac New ,  Weile Chen ,  Hang Guo ,  Haodan Yang ,  Abraham Sasmito Adibowo

IPC: G06N20/00 ,  G06Q10/06 ,  G06Q30/02

Abstract: Described herein is a machine learning framework for facilitating engagements. In accordance with one aspect of the framework, a machine learning model is trained based on the training data. A recommendation associated with an opportunity record may then be generated using the trained machine learning model. Results of one or more actions performed in response to the recommendation may be collected and fed back to the machine learning model to be used as the training data.