HAF:a hybrid annotation framework based on expert knowledge and learning technique  

作　　者：Zhixing LI Yue YU Tao WANG Gang YIN Xinjun MAO Huaimin WANG 

机构地区：[1]Key Laboratory of Parallel and Distributed Computing,National University of Defense Technology,Changsha 410073,China [2]College of Computer,National University of Defense Technology,Changsha 410073,China

出　　处：《Science China(Information Sciences)》2022年第1期272-274,共3页中国科学（信息科学）（英文版）

基　　金：supported by National Grand R&D Plan(Grant No.2018YFB1004202);National Natural Science Foundation of China(Grant No.61702534)。

摘　　要：Dear editor,The increasing awareness of the potential value hidden in data has resulted in many data mining studies being conducted.In the domain of software engineering,for example,developers’behavioral data and code review data have been leveraged in social coding sites to automatically recommend relevant projects[1]and candidate reviewers[2,3].

关 键 词：EDITOR KNOWLEDGE FRAMEWORK 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] TP18[自动化与计算机技术—计算机科学与技术]