Cited by 6Academic integrity and plagiarismAdvanced Text Analysis TechniquesSoftware Engineering Research

The DOI matches its Crossref record.

Identification of Plagiarism Using Syntactic and Semantic Filters

Ram, R. Vijay Sundar, Stamatatos, Efstathios, Devi, Sobha Lalitha·2014·Lecture Notes in Computer Science

Overview

Integrity signals

Registry

Crossref · 10.1007/978-3-642-54903-8_41

Cites

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Verification

Claims the paper makes

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Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 12

  1. 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)
  2. 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)
  3. Dice, L.R.: Measures of the Amount of Ecologic Association Between Species. Ecology 26(3), 297–302 (1945) · DOI
  4. Aimmanee, P.: Automatic Plaiarism Detection Using Word-Sentence Based S-gram. Chiang Mai Journal of Science 38 (special issue), 1–7 (2011)
  5. 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)
  6. 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)
  7. 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)
  8. 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)
  9. 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)
  10. Ngai, G., Florian, R.: Transformation-Based Learning in the Fast Lane. In: NAACL 2001, Pittsburgh, PA, pp. 40–47 (2001) · DOI
  11. Stamatatos, E.: Plagiarism Detection Using Stopword n-grams. Journal of the American Society for Information Science and Technology 62(12), 2512–2527 (2011) · DOI
  12. Uzuner, O., Katz, B., Nahnsen, T.: Using Syntactic Information to Identify Plagiarism. In: 2nd Workshop on Building Educational Applications using NLP (2005) · DOI

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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
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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