Semantic frame-based document representation for comparable corpora

Proceedings - IEEE International Conference on Data Mining, ICDM

Volumn , Issue , 2013, Pages 350-359

  Kim, Hyungsul ^a   Ren, Xiang ^a   Sun, Yizhou ^a   Wang, Chi ^a   Han, Jiawei ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

Clustering; Document Representation; Graph Similarity

Indexed keywords

EID: 84894683168     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2013.99     Document Type: Conference Paper

References (34)

1. R. Baeza-Yates, B. Ribeiro-Neto, et al. Modern information retrieval, volume 463. ACM press, 1999.
2. R. Barzilay and N. Elhadad. Sentence alignment for monolingual comparable corpora. In EMNLP, 2003.
3. R. Bekkerman, R. El-Yaniv, N. Tishby, and Y. Winter. Distributional word clusters vs. words for text categorization. JMLR, 3:1183-1208, 2003.
4. D. Blei, A. Ng, and M. Jordan. Latent dirichlet allocation. JMLR, 3:993-1022, 2003.
5. W. Cavnar, J. Trenkle, et al. N-gram-based text categorization. Ann Arbor MI, 48113(2):161-175.
6. J. Christensen, S. Soderland, O. Etzioni, et al. Semantic role labeling for open information extraction. In ACL HLT, 2010.
7. R. Collobert, J. Weston, L. Bottou, M. Karlen, K. Kavukcuoglu, and p. Kuksa. Natural language processing (almost) from scratch. JMLR, 2011.
8. W. Croft and J. Lafferty. Language modeling for information retrieval, volume 13. Springer, 2003.
9. D. Dueck and B. J. Frey. Non-metric affinity propagation for unsupervised image categorization. In ICCV, 2007.
10. S. Dumais, J. Platt, D. Heckerman, and M. Sahami. Inductive learning algorithms and representations for text categorization. In CIKM, 1998.
11. M. Ester, H. Kriegel, J. Sander, and X. Xu. A density-based algorithm for discovering clusters in large spatial databases with noise. In SIGKDD, 1996.
12. C. Fellbaum. Wordnet. Theory and Applications of Ontology: Computer Applications, pages 231-243, 2010.
13. C. Fillmore. Frame semantics and the nature of language. Annals of the New York Academy of Sciences, 280(1):20-32, 1976.
14. D. Gildea and D. Jurafsky. Automatic labeling of semantic roles. Computational Linguistics, 28(3):245-288, 2002.
15. X. He, D. Cai, H. Liu, and W.-Y. Ma. Locality preserving indexing for document representation. In SIGIR, 2004.
16. T. Hofmann. Unsupervised learning by probabilistic latent semantic analysis. Machine Learning, 42(1):177-196, 2001.
17. A. Ibrahim, B. Katz, and J. Lin. Extracting structural paraphrases from aligned monolingual corpora. In ACL, 2003.
18. G. Jeh and J. Widom. Simrank: a measure of structuralcontext similarity. In SIGKDD, 2002.
19. G. Kumaran and J. Allan. Text classification and named entities for new event detection. In SIGIR, 2004.
20. C. Leacock and M. Chodorow. Combining local context and wordnet similarity for word sense identification. Word Net: An electronic lexical database, 1998.
21. D. Lin and X. Wu. Phrase clustering for discriminative learning. In ACL, 2009.
22. C. Manning and p. Raghavan. Introduction to information retrieval, volume 1. Cambridge university press.
23. Y. Miao, V. Kešelj, and E. Milios. Document clustering using character n-grams: a comparative evaluation with term-based and word-based clustering. In CIKM, 2005.
24. R. Mihalcea, C. Corley, and C. Strapparava. Corpus-based and knowledge-based measures of text semantic similarity. In AAAI, 2006.
25. M. Mitra, C. Buckley, A. Singhal, C. Cardie, et al. An analysis of statistical and syntactic phrases. In RIAO, 1997.
26. A. Moschitti and R. Basili. Complex linguistic features for text classification: A comprehensive study. Advances in Information Retrieval, pages 181-196, 2004.
27. M. Palmer, D. Gildea, and p. Kingsbury. The proposition bank: An annotated corpus of semantic roles. Computational Linguistics, 31(1):71-106, 2005.
28. S. Scott and S. Matwin. Feature engineering for text classification. In ICML, 1999.
29. F. Sebastiani. Machine learning in automated text categorization. CSUR, 34(1):1-47, 2002.
30. D. Shen and M. Lapata. Using semantic roles to improve question answering. In EMNLP, 2007.
31. L.-A. Tang, Q. Gu, X. Yu, J. Han, T. La Porta, A. Leung, T. Abdelzaher, and L. Kaplan. Intrumine: mining intruders in untrustworthy data of cyber-physical systems. In SDM, 2012.
32. D. Wang, S. Zhu, T. Li, and Y. Gong. Multi-document summarization using sentence-based topic models. In ACLIJCNLP, 2009.
33. B. Zhao, B. I. Rubinstein, J. Gemmell, and J. Han. A bayesian approach to discovering truth from conflicting sources for data integration. VLDB, 5(6):550-561, 2012.
34. p. Zhao, J. Han, and Y. Sun. P-rank: a comprehensive structural similarity measure over information networks. In CIKM, 2009.