Speeding up Local Text Reuse Detection by Locality-Sensitive Hashing

LanguageJapanese
TypeProceedings of Japanese Conferences
AuthorsMasaki Nouso, Koichi Kise, Masakazu iwamura
TitleSpeeding up Local Text Reuse Detection by Locality-Sensitive Hashing
JournalProc. First Forum on Data Engineering and Information Management
Presentation numberD8-6
ReviewedNot reviewed
DateMarch 2009
Research fieldsInformation Retrieval
KeyNouso2009_FDEI (id=1077)

Abstract

Local text reuse detection is a technology to detect partial copies of documents and useful for anti-plagiarism of documents. A problem of methods for local text reuse detection is how to make the calculation of similarity of text parts efficiently, since it is generally based on nearest neighbor search whose cost is related to the size of the database. In order to solve this problem, we propose a method of local text reuse detection with the help of approximate nearest neighbor search. Methods called Locality-Sensitive Hashing (LSH) and its variant called Spherical LSH are both employed to speed up the processing.

Export this publication

Format definition
Edits apply immediately and stay in effect until you pick a style again or reset. First line is the default; add lines like "book: …" to override per type.
How to write the definition

Insert a field with braces like {authors}. A part enclosed in [ ... ] is omitted entirely when any field inside it is empty. Available fields:

{authors}{authors_and}{authors_ja}{authors_ja_tight}{authors_en}{authors_en_and}{authors_tight}{first_author}{title}{title_ja}{title_en}{journal}{journal_ja}{journal_en}{book_title}{volume}{number}{series}{presen_id}{pages}{pp}{num_pages}{year}{month}{month_en}{month_short}{ym}{date}{date_ja}{date_en}{publisher}{address}{location}{review}{review_ja}{review_en}{reviewed_mark}{presen_type}{type}{type_label}{doi}{url}{key}{awards}

← Back to list