Improving Synoptic Quering for Source Retrieval: Notebook for PAN at CLEF 2015
نویسندگان
چکیده
Source retrieval is a part of a plagiarism discovery process, where only a selected set of candidate documents is retrieved from a large corpus of potential source documents and passed for detailed document comparison in order to highlight potential plagiarism. This paper describes a used methodology and the architecture of a source retrieval system, developed for PAN 2015 lab on uncovering plagiarism, authorship and social software misuse. The system is based on our previous systems used at PAN since 2012. The paper also discusses the queries performance and provides explanation for many implementation settings. The proposed methodology achieved the highest recall with usage of the least number of queries among other PAN 2015 softwares during the official test run. The source retrieval subsystem forms an integral part of a modern system for plagiarism discovery.
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