Text classification with heterogeneous information network kernels

30th AAAI Conference on Artificial Intelligence, AAAI 2016

Volumn , Issue , 2016, Pages 2130-2136

  Wang, Chenguang ^a   Song, Yangqiu ^b   Li, Haoran ^a   Zhang, Ming ^a   Han, Jiawei ^c  

^a PEKING UNIVERSITY   (China)

^b West Virginia University   (United States)

^c University of Illinois at Urbana Champaign   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; INFORMATION SERVICES; KNOWLEDGE BASED SYSTEMS; TEXT PROCESSING;

BENCHMARK DATASETS; HETEROGENEOUS INFORMATION; INDEFINITE KERNEL; LINEAR KERNEL; NETWORK CLASSIFICATION; TEXT CLASSIFICATION; TRADITIONAL APPROACHES; WORLD KNOWLEDGE;

CLASSIFICATION (OF INFORMATION);

EID: 85005958335     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (39)

1. Aggarwal, C. C., and Zhai, C. 2012. A survey of text classification algorithms. In Mining text data. Springer. 163-222.
2. Andersen, R.; Chung, F.; and Lang, K. 2006. Local graph partitioning using pagerank vectors. In FOCS, 475-486.
3. Basu, S.; Bilenko, M.; and Mooney, R. J. 2004. A probabilistic framework for semi-supervised clustering. In KDD, 59-68.
4. Berg, C.; Christensen, J. P. R.; and Ressel, P. 1984. Harmonic analysis on semigroups. Graduate Texts in Mathematics.
5. Boyd, S., and Vandenberghe, L. 2004. Convex optimization. Cambridge university press.
6. Dong, X.; Gabrilovich, E.; Heitz, G.; Horn, W.; Lao, N.; Murphy, K.; Strohmann, T.; Sun, S.; and Zhang, W. 2014. Knowledge vault: A web-scale approach to probabilistic knowledge fusion. In KDD, 601-610.
7. Gabrilovich, E., and Markovitch, S. 2005. Feature generation for text categorization using world knowledge. In IJCAI, 1048-1053.
8. Gabrilovich, E., and Markovitch, S. 2007. Computing semantic relatedness using wikipedia-based explicit semantic analysis. In IJCAI, 1606-1611.
9. Hassan, S.; Mihalcea, R.; and Banea, C. 2007. Random walk term weighting for improved text classification. In ICSC, 242-249.
10. He, X.; Cai, D.; and Niyogi, P. 2006. Laplacian score for feature selection. In NIPS. 507-514.
11. Hotho, A.; Staab, S.; and Stumme, G. 2003. Ontologies improve text document clustering. In ICDM, 541-544.
12. Hu, J.; Fang, L.; Cao, Y.; Zeng, H.-J.; Li, H.; Yang, Q.; and Chen, Z. 2008. Enhancing text clustering by leveraging Wikipedia semantics. In SIGIR, 179-186.
13. Hu, X.; Zhang, X.; Lu, C.; Park, E. K.; and Zhou, X. 2009. Exploiting wikipedia as external knowledge for document clustering. In KDD, 389-396.
14. Joachims, T. 1998. Text categorization with support vector machines: Learning with many relevant features. Springer.
15. Kim, J.; Rousseau, F.; and Vazirgiannis, M. 2015. Convolutional sentence kernel from word embeddings for short text categorization. In EMNLP, 775-780.
16. Kong, X.; Yu, P. S.; Ding, Y.; and Wild, D. J. 2012. Meta path-based collective classification in heterogeneous information networks. In CIKM, 1567-1571.
17. Lewis, D. D.; Yang, Y.; Rose, T. G.; and Li, F. 2004. RCV1: A new benchmark collection for text categorization research. JMLR 5:361-397.
18. Lu, Q., and Getoor, L. 2003. Link-based classification. In ICML, 496-503.
19. Luss, R., and d'Aspremont, A. 2008. Support vector machine classification with indefinite kernels. In NIPS, 953- 960.
20. McCallum, A.; Nigam, K.; et al. 1998. A comparison of event models for naive bayes text classification. In AAAI Workshop, volume 752, 41-48.
21. Mikolov, T.; Sutskever, I.; Chen, K.; Corrado, G. S.; and Dean, J. 2013. Distributed representations of words and phrases and their compositionality. In NIPS, 3111-3119.
22. Nesterov, Y. 2005. Smooth minimization of non-smooth functions. Mathematical programming 103(1):127-152.
23. Rousseau, F.; Kiagias, E.; and Vazirgiannis, M. 2015. Text categorization as a graph classification problem. In ACL, 1702-1712.
24. Schuhmacher, M., and Ponzetto, S. P. 2014. Knowledgebased graph document modeling. In WSDM, 543-552.
25. Sebastiani, F. 2002. Machine learning in automated text categorization. ACM CSUR 34(1):1-47.
26. Siolas, G., and Buc, F. D. A. 2000. Support vector machines based on a semantic kernel for text categorization. In IJCNN, 205-209.
27. Song, Y., and Roth, D. 2015. Unsupervised sparse vector densification for short text similarity. In NAACL HLT, 1275- 1280.
28. Song, Y.; Wang, H.; Wang, Z.; Li, H.; and Chen, W. 2011. Short text conceptualization using a probabilistic knowledgebase. In IJCAI, 2330-2336.
29. Song, Y.;Wang, S.; andWang, H. 2015. Open domain short text conceptualization: A generative + descriptive modeling approach. In IJCAI, 3820-3826.
30. Sun, Y., and Han, J. 2012. Mining heterogeneous information networks: principles and methodologies. Synthesis Lectures on Data Mining and Knowledge Discovery 3(2):1- 159.
31. Vishwanathan, S. V. N.; Schraudolph, N. N.; Kondor, R.; and Borgwardt, K. M. 2010. Graph kernels. Journal of Machine Learning Research 11:1201-1242.
32. Wang, P., and Domeniconi, C. 2008. Building semantic kernels for text classification using wikipedia. In KDD, 713- 721.
33. Wang, P.; Hu, J.; Zeng, H.-J.; Chen, L.; and Chen, Z. 2007. Improving text classification by using encyclopedia knowledge. In ICDM, 332-341.
34. Wang, C.; Duan, N.; Zhou, M.; and Zhang, M. 2013. Paraphrasing adaptation for web search ranking. In ACL, 41-46.
35. Wang, C.; Song, Y.; El-Kishky, A.; Roth, D.; Zhang, M.; and Han, J. 2015a. Incorporating world knowledge to document clustering via heterogeneous information networks. In KDD, 1215-1224.
36. Wang, C.; Song, Y.; Li, H.; Zhang, M.; and Han, J. 2015b. Knowsim: A document similarity measure on structured heterogeneous information networks. In ICDM, 506-513.
37. Wang, C.; Song, Y.; Roth, D.; Wang, C.; Han, J.; Ji, H.; and Zhang, M. 2015c. Constrained information-Theoretic tripartite graph clustering to identify semantically similar relations. In IJCAI, 3882-3889.
38. Wang, W.; Do, D. B.; and Lin, X. 2005. Term graph model for text classification. In ADMA, 19-30.
39. Ying, Y.; Campbell, C.; and Girolami, M. 2009. Analysis of svm with indefinite kernels. In NIPS, 2205-2213.