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» Automatically Assessing Review Helpfulness
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WWW
2010
ACM
14 years 9 days ago
Exploiting social context for review quality prediction
Online reviews in which users publish detailed commentary about their experiences and opinions with products, services, or events are extremely valuable to users who rely on them ...
Yue Lu, Panayiotis Tsaparas, Alexandros Ntoulas, L...
EDM
2010
140views Data Mining» more  EDM 2010»
13 years 6 months ago
Assessing Reviewer's Performance Based on Mining Problem Localization in Peer-Review Data
Current peer-review software lacks intelligence for responding to students' reviewing performance. As an example of an additional intelligent assessment component to such soft...
Wenting Xiong, Diane J. Litman, Christian D. Schun...
ADC
2007
Springer
164views Database» more  ADC 2007»
13 years 11 months ago
Computer Assisted Assessment of SQL Query Skills
Structured Query Language (SQL) is the dominant language for querying relational databases today, and is an essential topic in introductory database courses in higher education. E...
Stijn Dekeyser, Michael de Raadt, Tien Yu Lee
COLING
2010
13 years 10 days ago
Building Systematic Reviews Using Automatic Text Classification Techniques
The amount of information in medical publications continues to increase at a tremendous rate. Systematic reviews help to process this growing body of information. They are fundame...
Oana Frunza, Diana Inkpen, Stan Matwin
ITS
2010
Springer
171views Multimedia» more  ITS 2010»
13 years 10 months ago
Identifying Problem Localization in Peer-Review Feedback
Abstract. In this paper, we use supervised machine learning to automatically identify the problem localization of peer-review feedback. Using five features extracted via Natural L...
Wenting Xiong, Diane J. Litman