Three Way Search Engine Queries with Multi-feature Document Comparison for Plagiarism Detection
نویسندگان
چکیده
In this paper, we describe our approach at the PAN 2012 plagiarism detection competition. Our candidate retrieval system is based on extraction of three different types of web queries with narrowing their execution by skipping certain passages of an input document. Our detailed comparison system detects common features of input document pair, computing valid intervals from them, and then merging some detections in the postprocessing phase. We also discuss the relevance of current PAN 2012 settings to the real-world plagiarism detection systems.
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