Overview of the 1st international competition on plagiarism detection
By Martin Potthast, Matthias Hagen, Tim Gollub, Martin Tippmann, Johannes Kiesel, Paolo Rosso, Efstathios Stamatatos, Benno Stein. 2009
494 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/8107c335d7eee78c71265fffc5abb7c488141e02
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Iryna Gurevych
- Nils Reimers
- Diyi Yang
- Aaron L Halfaker
- Eduard H. Hovy
- Jonas Pfeiffer
- Mohit Bansal
- Lucie-Aimée Kaffee
Citations in the corpus
- An Evaluation Framework for Plagiarism Detection (2010, methodology): “In [15] we introduce preliminary parts of our framework.”
- Using natural language generation to bootstrap missing Wikipedia articles: A human-centric perspective (2022, methodology): “To add context to these figures, we run a mixed-methods study with an interview and a taskbased component, where we learn more about the user experience with NLG and measure the extent to which NLG text is reused by editors, using a metric inspired from journalism [61] and plagiarism detection [62].”
- Identifying Semantic Edit Intentions from Revisions in Wikipedia (2017, methodology): “decision tree classifiers in BR and RAKEL, as recommended by prior work (Daxenberger and Gurevych, 2013; Potthast et al., 2013).”
- Are Neural Language Models Good Plagiarists? A Benchmark for Neural Paraphrase Detection (2021, methodology): “Among the resources used to validate PDS, PAN6 is arguably the most disseminated one, with challenges dating back to 2009 [11].”
- Understanding Plagiarism Linguistic Patterns, Textual Features, and Detection Methods (2012, methodology): “Plagiarism detection is divided into two formal tasks: extrinsic and intrinsic [25].”
- Task-Oriented Intrinsic Evaluation of Semantic Textual Similarity (2016, background): “Examples for such tasks can be found in the field of Automatic Essay Grading (Attali et al., 2006), Plagiarism Detection (Potthast et al., 2012), Automated Text Summarization (Barzilay and Elhadad, 1997), Question Answering (Lin and Pantel, 2001), or Link Discovery (He, 2009).”