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Enabling the interpretability of pretrained venue representations using semantic categories
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Affiliation of Author(s): : 软件学院

Title of Paper: : Enabling the interpretability of pretrained venue representations using semantic categories

Journal: : Knowledge Based Systems

First Author: : 安宁

Document Code: : 15BD3DAD5EDE48DA9A56F7AFEAFEB3AE

Issue: : 235

Number of Words: : 6000

Translation or Not: : no

Date of Publication: : 2021-10-21

Personal information

Associate Professor

Gender : Female

Alma Mater : 山东大学

Education Level : With Certificate of Graduation for Doctorate Study

Degree : Doctor

Status : Employed

School/Department : 软件学院

Date of Employment : 1998-07-16

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