Recent Trends in Digital Text Forensics and Its Evaluation - Plagiarism Detection, Author Identification, and Author Profiling

@inproceedings{Gollub2013RecentTI,
  title={Recent Trends in Digital Text Forensics and Its Evaluation - Plagiarism Detection, Author Identification, and Author Profiling},
  author={Tim Gollub and Martin Potthast and Anna Beyer and Matthias Busse and Francisco M. Rangel Pardo and Paolo Rosso and Efstathios Stamatatos and Benno Stein},
  booktitle={CLEF},
  year={2013}
}
This paper outlines the concepts and achievements of our evaluation lab on digital text forensics, PAN 13, which called for original research and development on plagiarism detection, author identification, and author profiling. We present a standardized evaluation framework for each of the three tasks and discuss the evaluation results of the altogether 58 submitted contributions. For the first time, instead of accepting the output of software runs, we collected the softwares themselves and run… CONTINUE READING
Highly Cited
This paper has 60 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 39 extracted citations

Competitive Author Profiling Using Compression-Based Strategies

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems • 2017
View 1 Excerpt

60 Citations

02040'14'16'18
Citations per Year
Semantic Scholar estimates that this publication has 60 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 62 references

Predicting gender from blog posts

View 2 Excerpts
Highly Influenced

Similar Papers

Loading similar papers…