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Using Word Clusters to Detect Similar Web Documents · Study

WorkUsing Word Clusters to Detect Similar Web Documents

Jonathan Koberstein2006

Work2006

Using Word Clusters to Detect Similar Web Documents

Jonathan Koberstein · Yiu‐Kai Ng

56 citations·0/0 files stored·Lecture notes in computer science

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Data Quality and Management Software Engineering Research Advanced Text Analysis Techniques

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References

1995SCAM: A Copy Detection Mechanism for Digital Documents 2003Retrieving similar documents from the web

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2015Uncovering highly obfuscated plagiarism cases using fuzzy semantic-based similarity model 2011SimPaD: A word-similarity sentence-based plagiarism detection tool on Web documents

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Papers that cite the same references — the relational fallback while embeddings are still backfilling.

2011Understanding Plagiarism Linguistic Patterns, Textual Features, and Detection Methodsarticle · 1 shared reference 1996Building a scalable and accurate copy detection mechanismother · 1 shared reference 2000Plagiarism in natural and programming languages: an overview of current tools and technologiesarticle · 1 shared reference 2011Plagiarism detection using stopword n-gramsarticle · 1 shared reference 2013State-of-the-art in detecting academic plagiarismarticle · 1 shared reference 2012An improved plagiarism detection scheme based on semantic role labelingarticle · 1 shared reference

Details

Year2006

Typeother

Published2006-01-01

VenueLecture notes in computer science

ISSN-L0302-9743

Languageen

Citations56

Files0 public / 0

ShelfData Quality and Management

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doi10.1007/11811220_19

openalex_workW1555539059

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