Identifying Problem Localization in Peer-Review Feedback

被引：0

作者：

Xiong, Wenting ^{[1
]}

Litman, Diane ^{[1
]}

机构：

[1] Univ Pittsburgh, Pittsburgh, PA 15260 USA

来源：

INTELLIGENT TUTORING SYSTEMS, PART II | 2010年 / 6095卷

关键词：

peer-review; problem localization; Natural Language Processing;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper: we use supervised machine learning to automatically identify the problem localization of peer-review feedback Using five features extracted via Natural Language Processing techinques, the learned model significantly outperforms a standard baseline Out work suggests that it is feasible for future tutoring systems to generate assessments regal cling the use of localization in student, peer reviews

引用

页码：429 / 431

页数：3