Enhancing cluster labeling using wikipedia

Proceedings - 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009

Volumn , Issue , 2009, Pages 139-146

  Carmel, David ^a   Roitman, Haggai ^a   Zwerdling, Naama ^a  

^a IBM HAIFA RESEARCH LAB   (Israel)

Author keywords

Cluster labeling; Wikipedia

Indexed keywords

CLUSTER LABELING; DESCRIPTORS; TEST COLLECTION; WIKIPEDIA;

INFORMATION RETRIEVAL; INFORMATION SERVICES;

LABELS;

EID: 72449171584     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1571941.1571967     Document Type: Conference Paper

References (21)

1. 20 News Group (20NG) data. http://people.csail.mit.edu/jrennie/ 20newsgroups.
2. T. Brants and A. Franz. Web 1T 5-gram Version 1. 2006.
3. D. Carmel, E. Yom-Tov, A. Darlow, and D. Pelleg. What makes a query difficult? In SIGIR '06, pages 390-397. ACM Press, 2006.
4. O. S. Chin, N. Kulathuramaiyer, and A. W. Yeo. Automatic discovery of concepts from text. In WI '06, pages 1046-1049, Washington, DC, USA, 2006. IEEE Computer Society.
5. R. Cilibrasi and P. M. B. Vitányi. The google similarity distance. IEEE Transactions on Knowledge and Data Engineering, 19(3):370-383, 2007.
6. D. R. Cutting, D. R. Karger, J. O. Pedersen, and J. W. Tukey. Scatter/gather: a cluster-based approach to browsing large document collections. In SIGIR '92, pages 318-329, New York, NY, USA, 1992. ACM.
7. W. de Winter and M. de Rijke. Identifying facets in query-biased sets of blog posts. In ICWSM'07, pages 251-254, 2007.
8. E. Gabrilovich and S. Markovitch. Overcoming the brittleness bottleneck using wikipedia: Enhancing text categorization with encyclopedic knowledge. In AAAI '06, pages 1301-1306, Boston, MA, 2006.
9. E. Gabrilovich and S. Markovitch. Computing semantic relatedness using wikipedia-based explicit semantic analysis. In IJCAI '07, pages 1606-1611, Hyderabad, India, 2007.
10. F. Geraci, M. Maggini, M. Pellegrini, and F. Sebastiani. Cluster generation and cluster labelling for web snippets:a fast and accurate hierarchical solution. Internet Mathematics, 2007.
11. E. Glover, D. M. Pennock, S. Lawrence, and R. Krovetz. Inferring hierarchical descriptions. In CIKM '02, pages 507-514, New York, NY, USA, 2002. ACM.
12. J. Hu, L. Fang, Y. Cao, H.-J. Zeng, H. Li, Q. Yang, and Z. Chen. Enhancing text clustering by leveraging wikipedia semantics. In SIGIR '08, pages 179-186, New York, NY, USA, 2008. ACM.
13. C. D. Manning, P. Raghavan, and H. Schutze. Introduction to Information Retrieval. Cambridge University Press, 2008.
14. Open Directory Project (ODP). http://www.dmoz.org/.
15. S. Osinski and D. Weiss. A concept-driven algorithm for clustering search results. IEEE Intelligent Systems, 20(3):48-54, 2005.
16. D. R. Radev, H. Jing, M. Styś, and D. Tam. Centroid-based summarization of multiple documents. Information Processing Management, 40(6):919-938, 2004.
17. P. Schönhofen. Identifying document topics using the wikipedia category network. In WI '06, pages 456-462, 2006.
18. M. Strube and S. P. Ponzetto. Wikirelate! computing semantic relatedness using wikipedia. July 2006.
19. Z. S. Syed, T. Finin, and A. Joshi. Wikipedia as an ontology for describing documents. In ICWSM '08, 2008.
20. H. Toda and R. Kataoka. A clustering method for news articles retrieval system. In WWW '05, pages 988-989, New York, NY, USA, 2005. ACM.
21. P. Treeratpituk and J. Callan. Automatically labeling hierarchical clusters. In DG.O '06, pages 167-176, New York, NY, USA, 2006. ACM.