Entity categorization over large document collections

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2008, Pages 274-282

  Ganti, Venkatesh ^a   König, Arnd Christian ^a   Vernica, Rares ^b  

^a MICROSOFT   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Algorithms; Experimentation; Performance

Indexed keywords

COMPUTATIONAL CHALLENGES; DATA ANALYSIS; DOCUMENT COLLECTIONS; DOCUMENT CONTEXTS; EXPERIMENTAL STUDIES; EXPERIMENTATION; MULTIPLE DOCUMENTS; PERFORMANCE; REAL DATA SETS; UNSTRUCTURED DOCUMENTS;

INFORMATION MANAGEMENT; MINING;

DATA MINING;

EID: 65449152689     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1401890.1401927     Document Type: Conference Paper

References (25)

1. E. Agichtein. Scaling Information Extraction to Large Document Collections. IEEE Data Eng. Bull., 28(4):3-10, 2005.
2. E. Agichtein and L. Gravano. Querying Text Databases for efficient Information Extraction. In ICDE, 2003.
3. E. Agichtein and S. Sarawagi. Scalable Information Extraction and integration. In ACM SICKDD, 2006.
4. D. E. Appelt and D. Israel. Introduction to Information Extraction Technology. IJCAI-99 Tutorial, 1999.
5. N. Archak, A. Ghose, and P. G. Ipeirotis. Show me the Money!: Deriving the Pricing Power of Product Features by Mining Consumer Reviews. In ACM SIGKDD, pages 56-65, 2007.
6. M. Banko, M. J. Cafarella, S. Soderland, M. Broadhead, and O. Etzioni. Open Information Extraction from the Web. In IJCAI, pages 2670-2676, 2007.
7. B. Bloom. Space/Time Tradeoffs in Hash Coding with Allowable Errors. In Communications of the ACM 13(7), pages 422-426, 1970.
8. M. Cafarella, M. Banko, and O. Etzioni. Relational Web Search. In WWW Conference, 2006.
9. M. J. Cafarella and O. Etzioni. A Search Engine for Natural Language Applications. In WWW Conference, 2005.
10. A. Chandel, P. C. Nagesh, and S. Sarawagi. Efficient Batch top-k Search for Dictionary-based Entity Recognition. IEEE ICDE Conf., 2006.
11. W. Cohen and A. McCallum.. Information Extraction and Integration: an Overview. In SIGKDD, 2004.
12. G. Cormode and S. Muthukrishnan. An Improved Data Stream Summary: the Count-Min Sketch and its Applications. In Journal of Algorithms, 55(1), pages 58-75, 2005.
13. G. Cormonde and S. Muthukrishnan. What's Hot and What's Not: Tracking Most Frequent Items Dynamically. ACM TODS, 30(1):249-278, 2005.
14. D. Downey, O. Etzioni, and S. Soderland. A Probabilistic Model of Redundancy in Information Extraction. In IJCAI, 2005.
15. R. Feldman, B. Rosenfeld, S. Soderland, and O. Etzioni. Self-supervised Relation Extraction from the Web. In ISMIS, 2006.
16. G. Graefe. Query Evaluation Techniques for Large Databases. ACM Comput. Surv., 25(2), 1993.
17. P. G. Ipeirotis, E. Agichtein, P. Jain, and L. Gravano. To Search or to Crawl?: towards a Query Optimizer for Text-Centric Tasks. In SIGMOD, pages 265-276, 2006.
18. A. C. König and E. Brill. Reducing the Human Overhead in Text Categorization. In SIGKDD, 2006.
19. A. McCallum and W. Li. Early Results for Named Entity Recognition with Conditional Random Fields, Feature Induction and Web-Enhanced Lexicons. In CoNLL, 2003.
20. Q. Mei and C. Zhai. A Mixture Model for Contextual Text Mining. In ACM SIGKDD, pages 649-655, 2006.
21. G. Navarro and M. Raffinot. Flexible Pattern Matching in Strings. Cambride University Press, 2002.
22. J. Platt. Fast Training of SVM's Using Sequential Minimal Optimization. In Advances in Kernel Methods: Support Vector Machine Learning, pages .185-209. MIT Press, 1999.
23. B. Rosenfeld, R. Feldman, M. Fresko, J. Schler, and Y Auman. TEG - A Hybrid Approach to Information Extraction. In Proceedings of the 2004 CIKM Conference, 2004.
24. W. Winkler. The State of Record Linkage and Current Research Problems. Technical report, U.S. Bureau of the Census, 1999.
25. G. Zhou and J. Su. Named Entity Recognition using an HMM-based Chunk Tagger. In ACL, 2002.