José Manuel Martín Ramos

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In this paper a new approach is shown for a very fast monolingual external plagiarism detection system based on an altered n-gram concept (contextual n-gram), a new high precision contextual Information Retrieval engine, and a new pruning strategy (Referential Monotony) for plagiarism detection and its limits. The assessment results can be compared with the(More)
This paper describes the process and basics of the Text Alignment Module into the CoReMo 2.1 Plagiarism Detector, which has won the Plagiarism Detection Text Alignment task in PAN-2013 edition, for both evaluation criteria of efficacy and efficiency, achieving the best detections and the best runtime too. Its high detection efficacy is mainly due to the(More)
This paper describes the process and basics of the Detailed Comparison Module into the CoReMo 1.9 Plagiarism Detector, which has got a highlighted mention in the PAN2012 edition due to its running speed (at least 10 times faster than any other competitor) achieving very good detections. Its high detection efficacy is due to the special features of the(More)
This paper shows an extended version of external CoReMo System (Contextual Reference Monotony, ranked 6 th in PAN2010), now with crosslingual capability (ranked 5 th in PAN2011 / Plagdet 0,2340). It's not the best ranked system for translated plagiarism (ranked 3 th / Plagdet 0,3587), but it has high reliability and speed (global results in 30 minutes), low(More)
In this paper, the basics of the three tuning approaches of the evolving CoReMo Plagiarism Detector are shown, focused for the Text Alignment task. In the last PAN edition, it was observed that the different corpora could condition the necessary tuning, and the results using an overfitted tuning from a different corpus could be far from the expected ones.(More)
The environmental impact assessment (EIA) is a real problem of multicriteria decision making (MCDM) where information, as much quantitative as qualitative, coexists. The traditional methods of MCDM developed for the EIA discriminates in favor of quantitative information at the expense of qualitative information, because we are unable to integrate this(More)
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