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Patent Searching and Data


Title:
POTENTIAL EVENT PREDICTING METHOD, APPARATUS AND DEVICE, AND STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2022/134834
Kind Code:
A1
Abstract:
The present application relates to the field of artificial intelligence. Disclosed are a potential event predicting method, apparatus and device, and a storage medium. The method comprises: by using a first data set in a plurality of fields and adopting a preset fragment-by-fragment learning paradigm, training a pre-trained model for potential event prediction for subsequent use; respectively converting a second data set in a target field into training samples in two formats, and training in two pre-trained models to obtain a second potential event prediction model and a third potential event prediction model for predicting a second potential event and a third potential event corresponding to a second event sentence, and corresponding second and third occurrence probabilities; and comparing the second and third occurrence probabilities, and obtaining, by means of screening on the basis of the comparison result, a plurality of potential events from the second and third potential events. The present application further relates to the blockchain technology, and data sets are stored in a block chain. The present application implements predicting the occurrence of a potential event according to an event sentence in an open scenario.

Inventors:
ZHU YUJIN (CN)
XU GUOQIANG (CN)
Application Number:
PCT/CN2021/126112
Publication Date:
June 30, 2022
Filing Date:
October 25, 2021
Export Citation:
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Assignee:
ONE CONNECT SMART TECH CO LTD SHENZHEN (CN)
International Classes:
G06F16/332
Foreign References:
CN112667791A2021-04-16
CN109918752A2019-06-21
CN109508650A2019-03-22
US20200012953A12020-01-09
Other References:
FAN SHUAICHANG, XIAOMEI YI, JIAN LI, GUOHUA HUI, YUANYUAN GAO: "Toadstool Image ´╝▓ecognition Based on Deep ´╝▓esidual Network and Transfer Learning", JOURNAL OF TRANSDUCTION TECHNOLOGY, DONGNAN DAXUE CHUBANSHE, NANJING, CN, vol. 33, no. 1, 31 January 2020 (2020-01-31), CN , pages 74 - 83, XP055946691, ISSN: 1004-1699, DOI: 10.3969/j.issn.1004-1699.2020.01.014
Attorney, Agent or Firm:
BEIJING JINGDA LAW FIRM (CN)
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