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Identification of Plagiarism Using Syntactic and Semantic Filters
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Integrity signals
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In the citing paper
“The detection of semantic similarities is a threefold problem (Chong, 2013; Ram et al., 2014): the detection of lexical changes, changes of the text structure and the most complex of them - the detection of paraphrasing.”
From Taxonomy of academic plagiarism methods (2021) · cites this paper as Ram et al., 2014
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Research works printed but not linked: 12
- Alzahrani, S., Salim, N.: Fuzzy Semantic-Based String Similarity for Extrinsic Plagiarism Detection: Lab Report for PAN at CLEF 2010. In: Notebook Papers of Labs and Workshops CLEF 2010, Padua, Italy (2010)
- Brill, E.: Some Advances in transformation Based Part of Speech Tagging. In: Proceedings of the Twelfth International Conference on Artificial Intelligence (AAAI 1994), Seattle, WA (1994)
- Dice, L.R.: Measures of the Amount of Ecologic Association Between Species. Ecology 26(3), 297–302 (1945) · DOI
- Aimmanee, P.: Automatic Plaiarism Detection Using Word-Sentence Based S-gram. Chiang Mai Journal of Science 38 (special issue), 1–7 (2011)
- Potthast, M., Hagen, M., Gollub, T., Tippmann, M., Kiesel, J., Rosso, P., Stamatatos, E., Stein, B.: Overview of the 5th International Competition on Plagiarism Detection. In: Forner, P., Navigli, R., Tufis, D. (eds.), Notebook Papers of CLEF 2013 LABs and Workshops, CLEF-2013, Valencia, Spain, September 23-26 (2013)
- Potthast, M., Gollub, T., Hagen, M., Graßegger, J., Kiesel, J., Michel, M., Oberländer, A., Tippmann, M., Barrón-Cedeño, A., Gupta, P., Rosso, P., Stein, B.: Overview of the 4th International Competition on Plagiarism Detection. In: Forner, P., Karlgren, J., Womser-Hacker, C. (eds.), CLEF 2012 Evaluation Labs and Workshop – Working Notes Papers (September 2012)
- Potthast, M., Eiselt, A., Barrón-Cedeño, A., Stein, B., Rosso, P.: Overview of the 3rd International Competition on Plagiarism Detection. In: Petras, V., Forner, P., Clough, P.D. (eds.) Notebook Papers of CLEF 11 Labs and Workshops (2011)
- Potthast, M., Barrón-Cedeño, A., Stein, B., Rosso, P.: An Evaluation Framework for Plagiarism Detection. In: Proc. of the 23rd Int. Conf. on Computational Linguistics, COLING 2010, Beijing, China, August 23-27, pp. 997–1005 (2010)
- Potthast, M., Barrón-Cedeño, A., Eiselt, A., Stein, B., Rosso, P.: Overview of the 2nd International Competition on Plagiarism Detection. In: Braschler, M., Harman, D., Pianta, E. (eds.), Notebook Papers of CLEF 10 Labs and Workshops (September 2010)
- Ngai, G., Florian, R.: Transformation-Based Learning in the Fast Lane. In: NAACL 2001, Pittsburgh, PA, pp. 40–47 (2001) · DOI
- Stamatatos, E.: Plagiarism Detection Using Stopword n-grams. Journal of the American Society for Information Science and Technology 62(12), 2512–2527 (2011) · DOI
- Uzuner, O., Katz, B., Nahnsen, T.: Using Syntactic Information to Identify Plagiarism. In: 2nd Workshop on Building Educational Applications using NLP (2005) · DOI
Cited by
Sorted by citations
Taxonomy of academic plagiarism methods
Vrbanec, T., & Meštrović, A. (2021) · Zbornik Veleučilišta u Rijeci · doi:10.31784/zvr.9.1.17 · Cited by 9
Metadata
- Authors
- Ram, R. V. S., Stamatatos, E., & Devi, S. L.
- Affiliations
- Anna University, Chennai (IN)
- University of the Aegean (GR)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2014
- Pages
- 495-506
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1894556296
- Cited by
- 6
- References
- 0
- Citations by year
- 2022: 2 · 2021: 1 · 2019: 1 · 2018: 1 · 2017: 1
- FWCI
- 2.32
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Social Sciences › Education › Academic integrity and plagiarism
- Physical Sciences › Computer Science › Artificial Intelligence › Advanced Text Analysis Techniques
- Physical Sciences › Computer Science › Information Systems › Software Engineering Research
- Keywords
- plagiarism detection, lexical-semantic features, Dice similarity
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Identification of Plagiarism Using Syntactic and Semantic Filters. https://app.cochat.ai/papers/10.1007/978-3-642-54903-8_41
- The paper
- Ram, R. V. S., Stamatatos, E., & Devi, S. L. (2014). Identification of Plagiarism Using Syntactic and Semantic Filters. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-642-54903-8_41