Boosting paraphrase detection through textual similarity metrics with abductive networks

Applied Soft Computing Journal

Volumn 26, Issue , 2015, Pages 444-453

  El Alfy, El Sayed M ^a   Abdel Aal, Radwan E ^a   Al Khatib, Wasfi G ^a   Alvi, Faisal ^a  

^a KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS   (Saudi Arabia)

Author keywords

Abductive networks; Paraphrase detection; Plagiarism; Score fusion; Text reuse detection; Textual similarity metrics

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); IMAGE RETRIEVAL; SEMANTICS; SUPPORT VECTOR MACHINES;

ABDUCTIVE NETWORKS; FUNCTIONAL ELEMENTS; PERFORMANCE ENHANCEMENTS; PLAGIARISM; SCORE FUSION; SEMANTIC EQUIVALENCES; SUPPORT VECTOR MACHINE CLASSIFIERS; TEXTUAL SIMILARITIES;

COMPLEX NETWORKS;

EID: 84912071686     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2014.10.021     Document Type: Article

References (49)

1. E. Eret, and T. Gokmenoglu Plagiarism in higher education: a case study with prospective academicians Procedia Soc. Behav. Sci. 2 2010 3303 3307
2. A.H. Osman, N. Salim, M.S. Binwahlan, R. Alteeb, and A. Abuobieda An improved plagiarism detection scheme based on semantic role labeling Appl. Soft Comput. 12 2012 1493 1502
3. S. Alzahrani, N. Salim, and A. Abraham Understanding plagiarism linguistic patterns, textual features, and detection methods IEEE Trans. Syst. Man Cybernet. C: Appl. Rev. 42 2012 133 149
4. J. Cordeiro, G. Dias, and P. Brazdil New functions for unsupervised asymmetrical paraphrase detection J. Softw. 2 2007 12 23
5. Y. Zhang, and J. Patrick Paraphrase identification by text canonicalization Proceedings of the Australasian Language Technology Workshop 2005 160 166
6. A. Rajkumar, and A. Chitra Paraphrase recognition using neural network classification Int. J. Comput. Appl. 1 2010 42 47
7. Z. Kozareva, and A. Montoyo Paraphrase identification on the basis of supervised machine learning techniques T. Salakoski, F. Ginter, S. Pyysalo, T. Pahikkala, Advances in Natural Language Processing Lecture Notes in Computer Science vol. 4139 2006 Springer Berlin, Heidelberg 524 533
8. A. Chitra, and A. Rajkumar A study on paraphrase recognition using radial basis function neural network IETE J. Res. 58 2012 50 56
9. W.B. Dolan, and C. Brockett Automatically constructing a corpus of sentential paraphrases Proceedings of the Third International Workshop on Paraphrasing (IWP2005) 2005 Asia Federation of Natural Language Processing 9 15
10. F. Sánchez-Vega, E. Villatoro-Tello, M.M. y Gmez, L.V. nor Pineda, and P. Rosso Determining and characterizing the reused text for plagiarism detection Expert Syst. Appl. 40 2013 1804 1813
11. D. Uribe Recognition of paraphrasing pairs Proceedings of the Electronics, Robotics and Automotive Mechanics Conference, CERMA'08 2008 50 55
12. S. Jha, H.A. Schwartz, and L. Ungar Penn: using word similarities to better estimate sentence similarity Proceeding of the First Joint Conference on Lexical and Computational Semantics 2012 679 683
13. C. Brockett, and W.B. Dolan Support vector machines for paraphrase identification and corpus construction Proceedings of the 3rd International Workshop on Paraphrasing 2005 1 8
14. A. Finch, Y. Hwang, and E. Sumita Using machine translation evaluation techniques to determine sentence-level semantic equivalence Proceedings of the 3rd International Workshop on Paraphrasing 2005 17 24
15. S. Wan, M. Dras, R. Dale, and C. Paris Using dependency-based features to take the "para-farce" out of paraphrase Proceedings of the Australasian Language Technology Workshop 2006 131 138
16. D.B.T. Zesch, and I. Gurevych Text reuse detection using a composition of text similarity measures Proceedings of COLING, vol. 1 2012 167 184
17. R. Kothwal, and V. Varma Cross lingual text reuse detection based on keyphrase extraction and similarity measures Multilingual Information Access in South Asian Languages 2013 Springer 71 78
18. V.I. Levenshtein Binary codes capable of correcting deletions, insertions and reversals Soviet Phys. Doklady 10 1966 707 710
19. N. Jacobs Relational sequence learning and user modelling (Ph.D. thesis) 2004 Informatics Section, Department of Computer Science, Faculty of Science
20. B. Dolan, C. Quirk, and C. Brockett Unsupervised construction of large paraphrase corpora: exploiting massively parallel news sources Proceedings of the 20th International Conference on Computational Linguistics 2004
21. J. Cordeiro, G. Dias, and P. Brazdil A metric for paraphrase detection Proceedings of the International Multi-Conference on Computing in the Global Information Technology (ICCGI) 2007
22. M. Yamamoto, and K.W. Church Using suffix arrays to compute term frequency and document frequency for all substrings in a corpus Comput. Linguist. 27 2001 1 30
23. K. Papineni, S. Roukos, T. Ward, and W.-J. Zhu Bleu: A Method for Automatic Evaluation of Machine Translation 2001 Technical Report, IBM Thomas J. Watson Research Center
24. K. Papineni, S. Roukos, T. Ward, and W.-J. Zhu Bleu: a method for automatic evaluation of machine translation Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL) Philadelphia 2002 311 318
25. L. Zhou, C.-Y. Lin, and E. Hovy Re-evaluating machine translation results with paraphrase support Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP'06 2006
26. C. Callison-Burch, M. Osborne, and P. Koehn Re-evaluating the role of bleu in machine translation research Proceedings the Eleventh Conference of the European Chapter of the Association for Computational Linguistics 2006 249 256
27. C. Liu, D. Dahlmeier, and H.T. Ng Better evaluation metrics lead to better machine translation Proceedings of the Conference on Empirical Methods in Natural Language Processing, EMNLP'11 2011 375 384
28. G.J. Montgomery, and K.C. Drake Abductive reasoning networks Neurocomputing 2 1991 97 104
29. G.J. Montgomery, P. Hess, and J.S. Hwang Abductive networks applied to electronic combat Proceedings of SPIE, Applications of Artificial Neural Networks 1990 The International Society for Optical Engineering
30. A. Agarwal Abductive networks for two-group classification: a comparison with neural networks J. Appl. Bus. Res. 15 1999 1 12
31. D. Watson, and T. Harrison Modeling unknown relationships with polynomial networks American Society of Agricultural and Biological Engineers Annual International Meeting, vol. 7 2009 4283 4300
32. E.-S. El-Alfy, and R. Abdel-Aal Construction and analysis of educational tests using abductive machine learning Comput. Educ. 51 2008 1 16
33. S. Kotsiantis Use of machine learning techniques for educational proposes: a decision support system for forecasting students' grades Artif. Intell. Rev. 37 2012 331 344
34. A. Barron Predicted squared error: a criterion for automatic model selection S.J. Farlow, Self-Organizing Methods in Modeling: GMDH Type Algorithms 1984 Marcel-Dekker 87 103
35. N. Madnani, J. Tetreault, and M. Chodorow Re-examining machine translation metrics for paraphrase identification Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies 2012 182 190
36. D. Das, and N. Smith Paraphrase identification as probabilistic quasi-synchronous recognition Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP 2009
37. I. Androutsopoulos, and P. Malakasiotis A survey of paraphrasing and textual entailment methods J. Artif. Intell. Res. 38 2010 135 187
38. J. Geiß Latent semantic sentence clustering for multi-document summarization 2011 Technical Report, University of Cambridge
39. R. Socher, E. Huang, J. Pennington, A. Ng, and C. Manning Dynamic pooling and unfolding recursive autoencoders for paraphrase detection Adv. Neural Inform. Process. Syst. 24 2011 801 809
40. R. Wang, and Y. Zhang A multi-dimensional classification approach towards recognizing textual semantic relations Proceedings of the 12th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing) 2011
41. S. Jimenez, and A. Gelbukh Baselines for natural language processing tasks based on soft cardinality spectra Appl. Comput. Math. 11 2012 180 199
42. N.X. Bach, N. Le Minh, and A. Shimazu EDU-based similarity for paraphrase identification Natural Language Processing and Information Systems 2013 Springer 65 76
43. N.X. Bach, N.L. Minh, and A. Shimazu Exploiting discourse information to identify paraphrases Expert Syst. Appl. 41 2014 2832 2841
44. C.D. Manning, P. Raghavan, and H. Schütze Introduction to Information Retrieval online edition 2009 Cambridge University Press
45. S. Burrows, M. Potthast, and B. Stein Paraphrase acquisition via crowdsourcing and machine learning ACM Trans. Intell. Syst. Technol. 4 2013 43 63
46. C. Corley, and R. Mihalcea Measuring the semantic similarity of texts Proceedings of the ACL Workshop on Empirical Modeling of Semantic Equivalence and Entailment 2005 Association for Computational Linguistics 13 18
47. R. Mihalcea, C. Corley, and C. Strapparava Corpus-based and knowledge-based measures of text semantic similarity AAAI, vol. 6 2006 775 780
48. V. Rus, P.M. McCarthy, M.C. Lintean, D.S. McNamara, and A.C. Graesser Paraphrase identification with lexico-syntactic graph subsumption FLAIRS Conference 2008 201 206
49. M. Potthast, B. Stein, A. Barrón-Cedeño, and P. Rosso An evaluation framework for plagiarism detection Proceedings of the 23rd International Conference on Computational Linguistics (COLING 2010) 2010