Source Retrieval for Plagiarism Detection

Source Retrieval and Text Alignment Corpus Construction for Plagiarism Detection

For the task of source retrieval, we focus on the process of Download Filtering. For the process from chunking to search control, we aim at high recall, and for the process of download filtering, we devote to improve precision. A vote-based approach and a classification-based approach are incorporated to filter the searching results to get the plagiarism sources. For the task of text alignment ...

Supervised Ranking for Plagiarism Source Retrieval

Source retrieval involves making use of a search engine to retrieve candidate sources of plagiarism for a given suspicious document so that more accurate comparisons can be made. We describe a strategy for source retrieval that uses a supervised method to classify and rank search engine results as potential sources of plagiarism without retrieving the documents themselves. Evaluation shows the ...

Derivative Approach for Plagiarism Source Retrieval

This paper describes our approach to the PAN shared task of plagiarism source retrieval based on the strategy suggested by Williams et. al [1]. We also incorporate named entities queries similar to those of Elizalde [2].

Plagiarism Detection in Source Code

Source Retrieval Based on Learning to Rank and Text Alignment Based on Plagiarism Type Recognition for Plagiarism Detection

This paper regards the query keywords selection problem in source retrieval as learning a ranking model to choose the method of keywords extraction over suspicious document segments. Four basic methods are used in our ranking function: BM25, TFIDF, TF and EW. Then, a ranking model based on Ranking SVM is proposed to rank the query keywords group which is contributed to get the higher evaluation...