CopyCaptor: PPlagiarized source retrieval system using global word frequency and local feedback: Notebook for PAN at CLEF 2013

Taemin Lee; Jeongmin Chae; Kinam Park; Soon Young Jung

CopyCaptor: PPlagiarized source retrieval system using global word frequency and local feedback: Notebook for PAN at CLEF 2013

Taemin Lee, Jeongmin Chae, Kinam Park, Soon Young Jung

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

Abstract

In this paper, we present a plagiarized source retrieval system called CopyCaptor using global word frequency and local feedback to generate an effective query for finding plagiarized source documents from the given suspicious document on PAN'13 source retrieval task. The system achieved 3rd place in competition with 0.33 F1 score, 0.50 precision and 0.33 recall on the test which find appropriate source documents of 58 suspicious documents from approx. 1 billion web pages.

Original language	English
Title of host publication	CEUR Workshop Proceedings
Publisher	CEUR-WS
Volume	1179
Publication status	Published - 2013
Event	2013 Working Notes for CLEF Conference, CLEF 2013 - Valencia, Spain Duration: 2013 Sept 23 → 2013 Sept 26

Other

Other	2013 Working Notes for CLEF Conference, CLEF 2013
Country/Territory	Spain
City	Valencia
Period	13/9/23 → 13/9/26

ASJC Scopus subject areas

General Computer Science

Cite this

@inproceedings{67cdd8bcd1e74f7785aeb45c7863d739,

title = "CopyCaptor: PPlagiarized source retrieval system using global word frequency and local feedback: Notebook for PAN at CLEF 2013",

abstract = "In this paper, we present a plagiarized source retrieval system called CopyCaptor using global word frequency and local feedback to generate an effective query for finding plagiarized source documents from the given suspicious document on PAN'13 source retrieval task. The system achieved 3rd place in competition with 0.33 F1 score, 0.50 precision and 0.33 recall on the test which find appropriate source documents of 58 suspicious documents from approx. 1 billion web pages.",

author = "Taemin Lee and Jeongmin Chae and Kinam Park and Jung, {Soon Young}",

year = "2013",

language = "English",

volume = "1179",

booktitle = "CEUR Workshop Proceedings",

publisher = "CEUR-WS",

note = "2013 Working Notes for CLEF Conference, CLEF 2013 ; Conference date: 23-09-2013 Through 26-09-2013",

}

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T1 - CopyCaptor

T2 - 2013 Working Notes for CLEF Conference, CLEF 2013

AU - Lee, Taemin

AU - Chae, Jeongmin

AU - Park, Kinam

AU - Jung, Soon Young

PY - 2013

Y1 - 2013

N2 - In this paper, we present a plagiarized source retrieval system called CopyCaptor using global word frequency and local feedback to generate an effective query for finding plagiarized source documents from the given suspicious document on PAN'13 source retrieval task. The system achieved 3rd place in competition with 0.33 F1 score, 0.50 precision and 0.33 recall on the test which find appropriate source documents of 58 suspicious documents from approx. 1 billion web pages.

AB - In this paper, we present a plagiarized source retrieval system called CopyCaptor using global word frequency and local feedback to generate an effective query for finding plagiarized source documents from the given suspicious document on PAN'13 source retrieval task. The system achieved 3rd place in competition with 0.33 F1 score, 0.50 precision and 0.33 recall on the test which find appropriate source documents of 58 suspicious documents from approx. 1 billion web pages.

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UR - http://www.scopus.com/inward/citedby.url?scp=84922031808&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84922031808

VL - 1179

BT - CEUR Workshop Proceedings

PB - CEUR-WS

Y2 - 23 September 2013 through 26 September 2013

ER -

CopyCaptor: PPlagiarized source retrieval system using global word frequency and local feedback: Notebook for PAN at CLEF 2013

Abstract

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ASJC Scopus subject areas

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