| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6862805 | Knowledge-Based Systems | 2013 | 7 Pages |
Abstract
The three models are tested extensively under the same conditions on the different plagiarism detection sub-tasks-something never done before. The experiments show that TÂ +Â MA produces the best results, closely followed by CL-ASA. Still CL-ASA obtains higher values of precision, an important factor in plagiarism detection when lesser user intervention is desired.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Alberto Barrón-Cedeño, Parth Gupta, Paolo Rosso,