论文信息 - Methods for Intrinsic Plagiarism Detection and Author Diarization

Methods for Intrinsic Plagiarism Detection and Author Diarization

The paper investigates methods for intrinsic plagiarism detection and author diarization. We developed a plagiarism detection method based on constructing an author style function from features of text sentences and detecting outliers. We adapted the method for the diarization problem by segmenting author style statistics on text parts, which correspond to different authors. Both methods were tested on the PAN-2011 collection for the intrinsic plagiarism detection and implemented for the PAN-2016 competition on author diarization.

[1] J. Friedman. Greedy function approximation: A gradient boosting machine. , 2001 .

[2] Eamonn J. Keogh,et al. Segmenting Time Series: A Survey and Novel Approach , 2002 .

[3] Steven Bird,et al. NLTK: The Natural Language Toolkit , 2002, ACL.

[4] Benno Stein,et al. Intrinsic Plagiarism Detection , 2006, ECIR.

[5] Julio Gonzalo,et al. A comparison of extrinsic clustering evaluation metrics based on formal constraints , 2009, Information Retrieval.

[6] Efstathios Stamatatos,et al. Intrinsic Plagiarism Detection Using Character n-gram Profiles , 2009 .

[7] Roman Kern,et al. External and Intrinsic Plagiarism Detection Using Vector Space Models , 2009 .

[8] Benno Stein,et al. An Evaluation Framework for Plagiarism Detection , 2010, COLING.

[9] Sebastián A. Ríos,et al. Approaches for Intrinsic and External Plagiarism Detection - Notebook for PAN at CLEF 2011 , 2011, CLEF.

[10] Paolo Rosso,et al. Our Method , 1867, Hall's journal of health.

[11] Matthias Hagen,et al. Overview of the 1st international competition on plagiarism detection , 2009 .

[12] Benno Stein,et al. Clustering by Authorship Within and Across Documents , 2016, CLEF.