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Applying basic features from sentiment analysis on automatic irony detection
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Cross-language source code re-use detection using latent semantic analysis
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Language variety identification using distributed representations of words and documents
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Cross-domain polarity classification using a knowledge-enhanced meta-classifier
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On the multilingual and genre robustness of EmoGraphs for author profiling in social media
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Overview of the Evalita 2014 SENTIment POLarity Classification Task
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In: Proceedings of the 4th evaluation campaign of Natural Language Processing and Speech tools for Italian (EVALITA'14) ; https://hal.inria.fr/hal-01228925 ; Proceedings of the 4th evaluation campaign of Natural Language Processing and Speech tools for Italian (EVALITA'14), 2014, Pisa, Italy. ⟨10.12871/clicit201429⟩ (2014)
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Overview of the Evalita 2014 SENTIment POLarity Classification Task
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In: Proceedings of the 4th evaluation campaign of Natural Language Processing and Speech tools for Italian (EVALITA'14) ; https://hal.inria.fr/hal-01195786 ; Proceedings of the 4th evaluation campaign of Natural Language Processing and Speech tools for Italian (EVALITA'14), Dec 2014, Pisa, France. ⟨10.12871/clicit201429⟩ (2014)
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Construction of an ontology for intelligent Arabic QA systems leveraging the Conceptual Graphs representation
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On the detection of SOurce COde re-use
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Abstract:
© {Owner/Author | ACM} {2014}. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in FIRE '14 Proceedings of the Forum for Information Retrieval Evaluation, http://dx.doi.org/10.1145/2824864.2824878" ; This paper summarizes the goals, organization and results of the first SOCO competitive evaluation campaign for systems that automatically detect the source code re-use phenomenon. The detection of source code re-use is an important research field for both software industry and academia fields. Accordingly, PAN@FIRE track, named SOurce COde Re-use (SOCO) focused on the detection of re-used source codes in C/C++ and Java programming languages. Participant systems were asked to annotate several source codes whether or not they represent cases of source code re-use. In total five teams submitted 17 runs. The training set consisted of annotations made by several experts, a feature which turns the SOCO 2014 collection in a useful data set for future evaluations and, at the same time, it establishes a standard evaluation framework for future research works on the posed shared task. ; PAN@FIRE (SOCO) has been organised in the framework of WIQ-EI (EC IRSES grantn. 269180) and DIANA-APPLICATIONS (TIN2012-38603-C02- 01) research projects. The work of the last author was supported by CONACyT Mexico Project Grant CB-2010/153315, and SEP-PROMEP UAM-PTC-380/48510349. ; Flores Sáez, E.; Rosso, P.; Moreno Boronat, LA.; Villatoro-Tello, E. (2014). On the detection of SOurce COde re-use. En FIRE '14 Proceedings of the Forum for Information Retrieval Evaluation. ACM. 21-30. https://doi.org/10.1145/2824864.2824878 ; S ; 21 ; 30 ; C. Arwin and S. Tahaghoghi. Plagiarism detection across programming languages. Proceedings of the 29th Australian Computer Science Conference, Australian Computer Society, 48:277--286, 2006. ; N. Baer and R. Zeidman. Measuring whitespace pattern sequence as an indication of plagiarism. Journal of Software Engineering and Applications, 5(4):249--254, 2012. ; M. Chilowicz, E. Duris, and G. Roussel. Syntax tree fingerprinting for source code similarity detection. In Program Comprehension, 2009. ICPC '09. IEEE 17th International Conference on, pages 243--247, 2009. ; D. Chuda, P. Navrat, B. Kovacova, and P. Humay. The issue of (software) plagiarism: A student view. Education, IEEE Transactions on, 55(1):22--28, 2012. ; G. Cosma and M. Joy. Evaluating the performance of lsa for source-code plagiarism detection. Informatica, 36(4):409--424, 2013. ; B. Cui, J. Li, T. Guo, J. Wang, and D. Ma. Code comparison system based on abstract syntax tree. In Broadband Network and Multimedia Technology (IC-BNMT), 3rd IEEE International Conference on, pages 668--673, Oct 2010. ; J. 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Association for Computational Linguistics, 2012. ; E. Flores, A. Barrón-Cedeño, P. Rosso, and L. Moreno. Towards the Detection of Cross-Language Source Code Reuse. Proceedings of 16th International Conference on Applications of Natural Language to Information Systems, NLDB-2011, Springer-Verlag, LNCS(6716), pages 250--253, 2011. ; E. Flores, M. Ibarra-Romero, L. Moreno, G. Sidorov, and P. Rosso. Modelos de recuperación de información basados en n-gramas aplicados a la reutilización de código fuente. In Proc. 3rd Spanish Conf. on Information Retrieval, pages 185--188, 2014. ; D. Ganguly and G. J. Jones. Dcu@ fire-2014: an information retrieval approach for source code plagiarism detection. In Fire [8]. ; R. García-Hernández and Y. Lendeneva. Identification of similar source codes based on longest common substrings. In Fire [8]. ; M. Joy and M. Luck. Plagiarism in programming assignments. Education, IEEE Transactions on, 42(2):129--133, May 1999. ; A. Marcus, A. Sergeyev, V. Rajlich, and J. Maletic. An information retrieval approach to concept location in source code. In Reverse Engineering, 2004. Proceedings. 11th Working Conference on, pages 214--223, Nov 2004. ; S. Narayanan and S. Simi. Source code plagiarism detection and performance analysis using fingerprint based distance measure method. In Proc. of 7th International Conference on Computer Science Education, ICCSE '12, pages 1065--1068, July 2012. ; M. Potthast, M. Hagen, A. Beyer, M. Busse, M. Tippmann, P. Rosso, and B. Stein. Overview of the 6th international competition on plagiarism detection. In L. Cappellato, N. Ferro, M. Halvey, and W. Kraaij, editors, Working Notes for CLEF 2014 Conference, Sheffield, UK, September 15-18, 2014., volume 1180 of CEUR Workshop Proceedings, pages 845--876. CEUR-WS.org, 2014. ; L. Prechelt, G. Malpohl, and M. Philippsen. Finding plagiarisms among a set of programs with JPlag. Journal of Universal Computer Science, 8(11):1016--1038, 2002. ; I. Rahal and C. Wielga. Source code plagiarism detection using biological string similarity algorithms. Journal of Information & Knowledge Management, 13(3), 2014. ; A. Ramírez-de-la Cruz, G. Ramírez-de-la Rosa, C. Sánchez-Sánchez, W. A. Luna-Ramírez, H. Jiménez-Salazar, and C. Rodríguez-Lucatero. Uam@soco 2014: Detection of source code reuse by means of combining different types of representations. In Fire [8]. ; F. Rosales, A. García, S. Rodríguez, J. L. Pedraza, R. Méndez, and M. M. Nieto. Detection of plagiarism in programming assignments. IEEE Transactions on Education, 51(2):174--183, 2008. ; K. Sparck and C. van Rijsbergen. Report on the need for and provision of an "ideal" information retrieval test collection. British Library Research and Development Report, 5266, University of Cambridge, 1975. ; G. Whale. Software metrics and plagiarism detection. Journal of Systems and Software, 13(2):131--138, 1990.
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Keyword:
CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL; Evaluation framework; LENGUAJES Y SISTEMAS INFORMATICOS; Plagiarism detection; SOCO; Source code re-use; Test collections
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URL: http://hdl.handle.net/10251/66451
https://doi.org/10.1145/2824864.2824878
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On the difficulty of automatically detecting irony: beyond a simple case of negation
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Detección de plagio translingüe utilizando una red semántica multilingüe
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A Comparison of Approaches for Measuring Cross-Lingual Similarity of Wikipedia Articles
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On the Design of an Intelligent Sensor Network for Flash Flood Monitoring, Diagnosis and Management in Urban Areas
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