Detecting co-derivative documents in large text collections

Proceedings of the 6th International Conference on Language Resources and Evaluation, LREC 2008

Volumn , Issue , 2008, Pages 1884-1887

  Pomikálek, Jan ^a   Rychlý, Pavel ^a  

^a MASARYK UNIVERSITY   (Czech Republic)

Author keywords

[No Author keywords available]

Indexed keywords

EXTERNAL SORT; FILE COMPRESSION; INPUT SIZE; MEMORY REQUIREMENTS; N-GRAMS; SUFFIX ARRAYS; TEXT COLLECTION; WHOLE PROCESS;

COMPUTATIONAL LINGUISTICS;

EID: 84909993491     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Y. Bernstein and J. Zobel. 2004. A scalable system for identifying co-derivative documents. Proc. String Processing and Information Retrieval Symp., pages 55-67.
2. A. Z. Broder. 2000. Identifying and filtering near-duplicate documents. Proceedings of the 11th Annual Symposium on Combinatorial Pattern Matching, pages 1-10.
3. A. Finn, N. Kushmerick, and B. Smyth. 2001. Fact or fiction: Content classification for digital libraries. In DELOS Workshop: Personalisation and Recommender Systems in Digital Libraries.
4. T. C. Hoad and J. Zobel. 2003. Methods for identifying versioned and plagiarized documents. Journal of the American Society for Information Science and Technology, 54(3):203-215.
5. N. J. Larsson and K. Sadakane. 1999. Faster suffix sorting. Technical Report LU-CS-TR:99-214, Lund University, Sweden.
6. I. H. Witten, T. C. Bell, and A. Moffat. 1999. Managing Gigabytes: Compressing and Indexing Documents and Images.