Multi level causal relation identification using extended features

Expert Systems with Applications

Volumn 41, Issue 16, 2014, Pages 7171-7181

  Yang, Xuefeng ^a   Mao, Kezhi ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Information extraction; Knowledge acquisition; Machine learning; Text mining

Indexed keywords

ARTIFICIAL INTELLIGENCE; INFORMATION RETRIEVAL; INFORMATION RETRIEVAL SYSTEMS; KNOWLEDGE ACQUISITION; LEARNING SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS;

CAUSAL RELATIONS; EXTENDED FEATURES; INFORMATION EXTRACTION SYSTEMS; LEXICAL SEMANTICS; MULTI-LEVEL LANGUAGES; NATURAL LANGUAGES; RELATION EXTRACTION; TEXT MINING;

DATA MINING;

EID: 84904340660     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2014.05.044     Document Type: Article

References (44)

1. C. Baker, C. Fillmore, and J. Lowe The berkeley framenet project Proceedings of the 36th annual meeting of the association for computational linguistics and 17th international conference on computational linguistics Vol. 1 1998 Association for Computational Linguistics 86 90
2. Beamer, B., Rozovskaya, A., Girju, R. (2008). Automatic semantic relation extraction with multiple boundary generation. In Proceedings of the 23rd national conference on artificial intelligence (Vol. 2, pp. 824-829).
3. Blanco, E., Castell, N., Moldovan, D. (2008). Causal relation extraction. In Proceedings of the sixth international language resources and evaluation (LREC'08) (pp. 310-313).
4. A. Budanitsky, and G. Hirst Evaluating wordnet-based measures of lexical semantic relatedness Computational Linguistics 32 1 2006 13 47 (Pubitemid 43764024)
5. Q.-C. Bui, B.Ó. Nualláin, C.A. Boucher, and P.M. Sloot Extracting causal relations on hiv drug resistance from literature BMC Bioinformatics 11 1 2010 101
6. D. Chang, and K. Choi Incremental cue phrase learning and bootstrapping method for causality extraction using cue phrase and word pair probabilities Information Processing & Management 42 3 2006 662 678 (Pubitemid 41563157)
7. C. Chang, and C. Lin Libsvm: a library for support vector machines ACM Transactions on Intelligent Systems and Technology (TIST) 2 3 2011 27
8. E. Charniak, and M. Johnson Coarse-to-fine n-best parsing and maxent discriminative reranking Proceedings of the 43rd annual meeting on association for computational linguistics 2005 Association for Computational Linguistics 173 180
9. C. Cortes, and V. Vapnik Support-vector networks Machine Learning 20 3 1995 273 297
10. R. De Maesschalck, D. Jouan-Rimbaud, and D. Massart The mahalanobis distance Chemometrics and Intelligent Laboratory Systems 50 1 2000 1 18 (Pubitemid 30019315)
11. Q.X. Do, Y.S. Chan, and D. Roth Minimally supervised event causality identification Proceedings of the conference on empirical methods in natural language processing 2011 Association for Computational Linguistics 294 303
12. G. Doddington, A. Mitchell, M. Przybocki, L. Ramshaw, S. Strassel, and R. Weischedel The automatic content extraction (ace) program-tasks, data, and evaluation Proceedings of LREC Vol. 4 2004 Citeseer 837 840
13. O. Etzioni, M. Banko, S. Soderland, and D. Weld Open information extraction from the web Communications of the ACM 51 12 2008 68 74
14. O. Etzioni, A. Fader, J. Christensen, S. Soderland, and M. Mausam Open information extraction: The second generation Proceedings of the twenty-second international joint conference on artificial intelligence Vol. 1 2011 AAAI Press 3 10
15. C. Fellbaum Wordnet Theory and Applications of Ontology: Computer Applications 2010 231 243
16. Y. Freund, and R.E. Schapire A decision-theoretic generalization of on-line learning and an application to boosting Computational learning theory 1995 Springer 23 37
17. M. Galar, A. Fernández, E. Barrenechea, H. Bustince, and F. Herrera A review on ensembles for the class imbalance problem: bagging-, boosting-, and hybrid-based approaches IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews 42 4 2012 463 484
18. R. Girju Automatic detection of causal relations for question answering Proceedings of the ACL 2003 workshop on multilingual summarization and question answering MultiSumQA '03 Vol. 12 2003 Association for Computational Linguistics Stroudsburg, PA, USA 76 83
19. R. Girju, and D. Moldovan et al. Text mining for causal relations Proceedings of the FLAIRS conference 2002 AAAI Press 360 364
20. Grishman, R., Sundheim, B. (1996). Message understanding conference-6: A brief history. In Proceedings of COLING (Vol. 96, pp. 466-471).
21. Hausknecht, M. (2010). Heuristic based extraction of causal relations from annotated causal cue phrases. Technical report, Emory University, Department of Mathematics and Computer Science.
22. L. Jing, M.K. Ng, and J.Z. Huang Knowledge-based vector space model for text clustering Knowledge and Information Systems 25 1 2010 35 55
23. L. Joskowicz, T. Ksiezyck, and R. Grishman Deep domain models for discourse analysis AI systems in government conference, 1989 Proceedings of the annual 1989 IEEE 195 200
24. R.M. Kaplan, and G. Berry-Rogghe Knowledge-based acquisition of causal relationships in text Knowledge Acquisition 3 3 1991 317 337
25. C. Khoo, S. Chan, and Y. Niu Extracting causal knowledge from a medical database using graphical patterns Proceedings of the 38th annual meeting on association for computational linguistics 2000 Association for Computational Linguistics 336 343
26. C.S. Khoo, S.H. Myaeng, and R.N. Oddy Using cause-effect relations in text to improve information retrieval precision Information Processing & Management 37 1 2001 119 145 (Pubitemid 32029123)
27. P. Kingsbury, and M. Palmer From treebank to propbank Proceedings of the 3rd international conference on language resources and evaluation (LREC-2002) 2002 Citeseer 1989 1993
28. D. Klein, and C. Manning Accurate unlexicalized parsing Proceedings of the 41st annual meeting on association for computational linguistics Vol. 1 2003 Association for Computational Linguistics 423 430
29. S. Lee, S.-Y. Huh, and R.D. McNiel Automatic generation of concept hierarchies using wordnet Expert Systems with Applications 35 3 2008 1132 1144
30. X. Liu, J. Wu, and Z. Zhou Exploratory undersampling for class-imbalance learning IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 39 2 2009 539 550
31. C.H. Li, J.C. Yang, and S.C. Park Text categorization algorithms using semantic approaches, corpus-based thesaurus and wordnet Expert Systems with Applications 39 1 2012 765 772
32. J. Meng, H. Lin, and Y. Li Knowledge transfer based on feature representation mapping for text classification Expert Systems with Applications 38 8 2011 10562 10567
33. A. Moreno, D. Isern, and A.C. LóPez Fuentes Ontology-based information extraction of regulatory networks from scientific articles with case studies for E.coli Expert Systems with Applications 2013
34. R. Navigli, and S.P. Ponzetto Babelnet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network Artificial Intelligence 2012
35. P. Pudil, J. Novovičová, and J. Kittler Floating search methods in feature selection Pattern Recognition Letters 15 11 1994 1119 1125
36. K. Radinsky, S. Davidovich, and S. Markovitch Learning causality for news events prediction Proceedings of the 21st international conference on World Wide Web 2012 ACM 909 918
37. S. Raghuram, Y. Xia, J. Ge, M. Palakal, J. Jones, and D. Pecenka et al. Autobayesian: Developing bayesian networks based on text mining Database systems for advanced applications 2011 Springer 450 453
38. Sanchez-Graillet, O., Poesio, M. (2004). Acquiring bayesian networks from text. In Proc. of the 4th International Conference on Language Resources and Evaluation (LREC-2004) (pp. 955-958).
39. Schuler, K. (2005). Verbnet: A broad-coverage, comprehensive verb lexicon. Dissertations available from ProQuest, page AAI3179808.
40. F.M. Suchanek, G. Kasneci, and G. Weikum Yago: a core of semantic knowledge Proceedings of the 16th international conference on World Wide Web 2007 ACM 697 706 (Pubitemid 47582299)
41. D. Thammasiri, D. Delen, P. Meesad, and N. Kasap A critical assessment of imbalanced class distribution problem: The case of predicting freshmen student attrition Expert Systems with Applications 41 2 2014 321 330
42. G. Varelas, E. Voutsakis, P. Raftopoulou, E.G. Petrakis, and E.E. Milios Semantic similarity methods in wordnet and their application to information retrieval on the web Proceedings of the 7th annual ACM international workshop on web information and data management 2005 ACM 10 16
43. D. Wimalasuriya, and D. Dou Ontology-based information extraction: An introduction and a survey of current approaches Journal of Information Science 36 3 2010 306 323
44. J. Xiao, L. Xie, C. He, and X. Jiang Dynamic classifier ensemble model for customer classification with imbalanced class distribution Expert Systems with Applications 39 3 2012 3668 3675