Supervised semantic indexing

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2009, Pages 187-196

  Bai, Bing ^a   Weston, Jason ^a   Grangier, David ^a   Collobert, Ronan ^a   Sadamasa, Kunihiko ^a   Qi, Yanjun ^a   Chapelle, Olivier ^b   Weinberger, Kilian ^b  

^a NEC LABORATORIES AMERICA   (United States)

^b YAHOO RESEARCH   (United States)

Author keywords

Content matching; Learning to rank; Semantic indexing

Indexed keywords

BASIC MODELS; CONTENT MATCHING; EMPIRICAL STUDIES; LATENT SEMANTIC INDEXING; LEARNING TO RANK; LOW RANK; ONLINE ADVERTISING; SCALABLE METHODS; SEMANTIC INDEXING; STATE-OF-THE-ART PERFORMANCE; TEXT DOCUMENT; WIKIPEDIA;

INDEXING (OF INFORMATION); KNOWLEDGE MANAGEMENT; LSI CIRCUITS; SCALABILITY; SEMANTICS;

INFORMATION RETRIEVAL;

EID: 74549199418     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1645953.1645979     Document Type: Conference Paper

References (34)

1. R. Baeza-Yates, B. Ribeiro-Neto, et al. Modern information retrieval. Addison-Wesley Harlow, England, 1999.
2. D. M. Blei and J. D. McAuliffe. Supervised topic models. In In Advances in Neural Information Processing Systems (NIPS), pages 121-128, 2007.
3. D. M. Blei, A. Ng, and M. I. Jordan. Latent dirichlet allocation. The Journal of Machine Learning Research, 3:993-1022, 2003.
4. R. Bunescu and M. Pasca. Using encyclopedic knowledge for named entity disambiguation. In In EACL, pages 9-16, 2006.
5. C. Burges, R. Ragno, and Q.V. Le. Learning to Rank with Nonsmooth Cost Functions. In Advances in Neural Information Processing Systems: Proceedings of the 2006 Conference, pages 193-200. MIT Press, 2007.
6. C. Burges, T. Shaked, E. Renshaw, A. Lazier, M. Deeds, N. Hamilton, and G. Hullender. Learning to rank using gradient descent. In ICML 2005, pages 89-96, New York, NY, USA, 2005. ACM Press.
7. Z. Cao, T. Qin, T.Y. Liu, M.F. Tsai, and H. Li. Learning to rank: from pairwise approach to listwise approach. In Proceedings of the 24th international conference on Machine learning, pages 129-136. ACM Press New York, NY, USA, 2007.
8. S. Chernov, T. Iofciu, W. Nejdl, and X. Zhou. Extracting semantic relationships between wikipedia categories. In In 1st International Workshop: âǍİSemWiki2006 - From Wiki to SemanticsâǍİ (SemWiki 2006), co-located with the ESWC2006 in Budva, 2006.
9. M. Collins and N. Duffy. New ranking algorithms for parsing and tagging: kernels over discrete structures, and the voted perceptron. In Proceedings of the 40th Annual Meeting on Association for Computational Linguistics, pages 263-270. Association for Computational Linguistics Morristown, NJ, USA, 2001.
10. S. Cucerzan. Large-scale named entity disambiguation based on wikipedia data. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pages 708-716, Prague, June 2007. Association for Computational Linguistics.
11. S. Deerwester, S. T. Dumais, G. W. Furnas, T. K. Landauer, and R. Harshman. Indexing by latent semantic analysis. JASIS, 41(6):391-407, 1990.
12. E. Gabrilovich and S. Markovitch. Computing semantic relatedness using wikipedia-based explicit semantic analysis. In International Joint Conference on Artificial Intelligence, pages 1606-1611, 2007.
13. P. Gehler, A. Holub, and M. Welling. The rate adapting poisson (rap) model for information retrieval and object recognition. In Proceedings of the 23rd International Conference on Machine Learning, pages 337-344. 2006.
14. A. Globerson and S. Roweis. Visualizing pairwise similarity via semidefinite programming. In AISTATS. 2007.
15. S. Goel, J. Langford, and A. Strehl. Predictive indexing for fast search. In Advances in Neural Information Processing Systems 21, pages 505-512. 2008.
16. D. Grangier and S. Bengio. Inferring document similarity from hyperlinks. In CIKM '05, pages 359-360, New York, NY, USA, 2005. ACM.
17. D. Grangier and S. Bengio. A discriminative kernel-based approach to rank images from text queries. IEEE Trans. PAMI., 30(8):1371-1384, 2008.
18. R. Herbrich, T. Graepel, and K. Obermayer. Large margin rank boundaries for ordinal regression. MIT Press, Cambridge, MA, 2000.
19. T. Hofmann. Probabilistic latent semantic indexing. In SIGIR 1999, pages 50-57. ACM Press, 1999.
20. J. Hu, L. Fang, Y. Cao, H. Zeng, H. Li, Q. Yang, and Z. Chen. Enhancing text clustering by leveraging wikipedia semantics. In SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval, pages 179-186, New York, NY, USA, 2008. ACM.
21. P. Jain, B. Kulis, I. S. Dhillon, and K. Grauman. Online metric learning and fast similarity search. In Advances in Neural Information Processing Systems (NIPS), pages 761-768. 2008.
22. T. Joachims. Optimizing search engines using clickthrough data. In ACM SIGKDD, pages 133-142, 2002.
23. M. Keller and S. Bengio. A Neural Network for Text Representation. In International Conference on Artificial Neural Networks, ICANN, pages 667-672, 2005. IDIAP-RR 05-12.
24. T.Y. Liu, J. Xu, T. Qin, W. Xiong, and H. Li. Letor: Benchmark dataset for research on learning to rank for information retrieval. In Proceedings of SIGIR 2007 Workshop on Learning to Rank for Information Retrieval, 2007.
25. D. N. Milne, I. H. Witten, and D. M. Nichols. A knowledge-based search engine powered by wikipedia. In CIKM '07: Proceedings of the sixteenth ACM conference on Conference on information and knowledge management, pages 445-454, New York, NY, USA, 2007. ACM.
26. Z. Minier, Z. Bodo, and L. Csato. Wikipedia-based kernels for text categorization. In In 9th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, pages 157-164, 2007.
27. M. Ruiz-casado, E. Alfonseca, and P. Castells. Automatic extraction of semantic relationships for wordnet by means of pattern learning from wikipedia. In In NLDB, pages 67-79. Springer Verlag, 2005.
28. R. Salakhutdinov and G. Hinton. Semantic Hashing. International Journal of Approximate Reasoning, 50(7):969-978, 2009.
29. Q. Shi, J. Petterson, G. Dror, J. Langford, A. Smola, A. Strehl, and V. Vishwanathan. Hash kernels. In Twelfth International Conference on Artificial Intelligence and Statistics, 2009.
30. F. Smadja, K. R. McKeown, and V. Hatzivassiloglou. Translating collocations for bilingual lexicons: a statistical approach. Comput. Linguist., 22(1):1-38, 1996.
31. J. Sun, Z. Chen, H. Zeng, Y. Lu, C. Shi, and W. Ma. Supervised latent semantic indexing for document categorization. In ICDM 2004, pages 535-538, Washington, DC, USA, 2004. IEEE Computer Society.
32. K. Weinberger and L. Saul. Fast solvers and efficient implementations for distance metric learning. In International Conference on Machine Learning, pages 1160-1167. 2008.
33. Y. Yue, T. Finley, F. Radlinski, and T. Joachims. A support vector method for optimizing average precision. In SIGIR, pages 271-278, 2007.
34. L. Zighelnic and O. Kurland. Query-drift prevention for robust query expansion. In SIGIR 2008, pages 825-826, New York, NY, USA, 2008. ACM.