HawKeyes plagiarism detection system

Leilei Kong; Jie Li; Feng Zhao; Haoliang Qi; Zhongyuan Han; Yong Han; Zhimao Lu

HawKeyes plagiarism detection system

Leilei Kong
, Jie Li
, Feng Zhao
, Haoliang Qi
, Zhongyuan Han
, Yong Han
, Zhimao Lu

Heilongjiang Institute of Technology
College of Information and Communication Engineering, Harbin Engineering University
School of Computer Science and Technology, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The high-obfuscation plagiarism detection in big data environment, such as the paraphrasing and cross-language plagiarism, is often difficult for anti- plagiarism system because the plagiarism skills are becoming more and more complex. This paper proposes HawkEyes, a plagiarism detection system implemented based on the source retrieval and text alignment algorithms which developed for the international competition on plagiarism detection organized by CLEF. The text alignment algorism in HawkEyes gained the first place in PAN@CLEF2012. In the demonstration, we will present our system implemented on PAN@CLEF2014 training data corpus.

Original language	English
Title of host publication	Intelligent Computation in Big Data Era - International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2015, Proceedings
Editors	Hongzhi Wang, Wanxiang Che, Zhaowen Qiu, Zhongyuan Han, Junyu Lin, Haoliang Qi, Zeguang Lin, Leilei Kong
Publisher	Springer New York LLC
Pages	459-463
Number of pages	5
ISBN (Electronic)	9783662462478
State	Published - 2015
Externally published	Yes
Event	International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2015 - Harbin, China Duration: 10 Jan 2015 → 12 Jan 2015

Publication series

Name	IFIP Advances in Information and Communication Technology
Volume	503
ISSN (Print)	1868-4238

Conference

Conference	International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2015
Country/Territory	China
City	Harbin
Period	10/01/15 → 12/01/15

Keywords

Plagiarism detection system
Source retrieval
Text alignment

Cite this

Kong, L., Li, J., Zhao, F., Qi, H., Han, Z., Han, Y., & Lu, Z. (2015). HawKeyes plagiarism detection system. In H. Wang, W. Che, Z. Qiu, Z. Han, J. Lin, H. Qi, Z. Lin, & L. Kong (Eds.), Intelligent Computation in Big Data Era - International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2015, Proceedings (pp. 459-463). (IFIP Advances in Information and Communication Technology; Vol. 503). Springer New York LLC.

Kong, Leilei ; Li, Jie ; Zhao, Feng et al. / HawKeyes plagiarism detection system. Intelligent Computation in Big Data Era - International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2015, Proceedings. editor / Hongzhi Wang ; Wanxiang Che ; Zhaowen Qiu ; Zhongyuan Han ; Junyu Lin ; Haoliang Qi ; Zeguang Lin ; Leilei Kong. Springer New York LLC, 2015. pp. 459-463 (IFIP Advances in Information and Communication Technology).

@inproceedings{588de3738457426dad5ed9e698c79424,

title = "HawKeyes plagiarism detection system",

abstract = "The high-obfuscation plagiarism detection in big data environment, such as the paraphrasing and cross-language plagiarism, is often difficult for anti- plagiarism system because the plagiarism skills are becoming more and more complex. This paper proposes HawkEyes, a plagiarism detection system implemented based on the source retrieval and text alignment algorithms which developed for the international competition on plagiarism detection organized by CLEF. The text alignment algorism in HawkEyes gained the first place in PAN@CLEF2012. In the demonstration, we will present our system implemented on PAN@CLEF2014 training data corpus.",

keywords = "Plagiarism detection system, Source retrieval, Text alignment",

author = "Leilei Kong and Jie Li and Feng Zhao and Haoliang Qi and Zhongyuan Han and Yong Han and Zhimao Lu",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2015.; International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2015 ; Conference date: 10-01-2015 Through 12-01-2015",

year = "2015",

language = "英语",

series = "IFIP Advances in Information and Communication Technology",

publisher = "Springer New York LLC",

pages = "459--463",

editor = "Hongzhi Wang and Wanxiang Che and Zhaowen Qiu and Zhongyuan Han and Junyu Lin and Haoliang Qi and Zeguang Lin and Leilei Kong",

booktitle = "Intelligent Computation in Big Data Era - International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2015, Proceedings",

}

Kong, L, Li, J, Zhao, F, Qi, H, Han, Z, Han, Y & Lu, Z 2015, HawKeyes plagiarism detection system. in H Wang, W Che, Z Qiu, Z Han, J Lin, H Qi, Z Lin & L Kong (eds), Intelligent Computation in Big Data Era - International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2015, Proceedings. IFIP Advances in Information and Communication Technology, vol. 503, Springer New York LLC, pp. 459-463, International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2015, Harbin, China, 10/01/15.

HawKeyes plagiarism detection system. / Kong, Leilei; Li, Jie; Zhao, Feng et al.
Intelligent Computation in Big Data Era - International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2015, Proceedings. ed. / Hongzhi Wang; Wanxiang Che; Zhaowen Qiu; Zhongyuan Han; Junyu Lin; Haoliang Qi; Zeguang Lin; Leilei Kong. Springer New York LLC, 2015. p. 459-463 (IFIP Advances in Information and Communication Technology; Vol. 503).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - HawKeyes plagiarism detection system

AU - Kong, Leilei

AU - Li, Jie

AU - Zhao, Feng

AU - Qi, Haoliang

AU - Han, Zhongyuan

AU - Han, Yong

AU - Lu, Zhimao

N1 - Publisher Copyright: © Springer-Verlag Berlin Heidelberg 2015.

PY - 2015

Y1 - 2015

N2 - The high-obfuscation plagiarism detection in big data environment, such as the paraphrasing and cross-language plagiarism, is often difficult for anti- plagiarism system because the plagiarism skills are becoming more and more complex. This paper proposes HawkEyes, a plagiarism detection system implemented based on the source retrieval and text alignment algorithms which developed for the international competition on plagiarism detection organized by CLEF. The text alignment algorism in HawkEyes gained the first place in PAN@CLEF2012. In the demonstration, we will present our system implemented on PAN@CLEF2014 training data corpus.

AB - The high-obfuscation plagiarism detection in big data environment, such as the paraphrasing and cross-language plagiarism, is often difficult for anti- plagiarism system because the plagiarism skills are becoming more and more complex. This paper proposes HawkEyes, a plagiarism detection system implemented based on the source retrieval and text alignment algorithms which developed for the international competition on plagiarism detection organized by CLEF. The text alignment algorism in HawkEyes gained the first place in PAN@CLEF2012. In the demonstration, we will present our system implemented on PAN@CLEF2014 training data corpus.

KW - Plagiarism detection system

KW - Source retrieval

KW - Text alignment

UR - https://www.scopus.com/pages/publications/84927721190

M3 - 会议稿件

AN - SCOPUS:84927721190

T3 - IFIP Advances in Information and Communication Technology

SP - 459

EP - 463

BT - Intelligent Computation in Big Data Era - International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2015, Proceedings

A2 - Wang, Hongzhi

A2 - Che, Wanxiang

A2 - Qiu, Zhaowen

A2 - Han, Zhongyuan

A2 - Lin, Junyu

A2 - Qi, Haoliang

A2 - Lin, Zeguang

A2 - Kong, Leilei

PB - Springer New York LLC

T2 - International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2015

Y2 - 10 January 2015 through 12 January 2015

ER -

Kong L, Li J, Zhao F, Qi H, Han Z, Han Y et al. HawKeyes plagiarism detection system. In Wang H, Che W, Qiu Z, Han Z, Lin J, Qi H, Lin Z, Kong L, editors, Intelligent Computation in Big Data Era - International Conference of Young Computer Scientists, Engineers and Educators, ICYCSEE 2015, Proceedings. Springer New York LLC. 2015. p. 459-463. (IFIP Advances in Information and Communication Technology).

HawKeyes plagiarism detection system

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