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Debasis?GangulyEmail authorView authors OrcID profile Gareth?J.?F.?Jones Aarón?Ramírez-de-la-Cruz Gabriela?Ramírez-de-la-Rosa Esaú?Villatoro-Tello 《Information Retrieval》2018,21(1):1-23
Automatic detection of source code plagiarism is an important research field for both the commercial software industry and within the research community. Existing methods of plagiarism detection primarily involve exhaustive pairwise document comparison, which does not scale well for large software collections. To achieve scalability, we approach the problem from an information retrieval (IR) perspective. We retrieve a ranked list of candidate documents in response to a pseudo-query representation constructed from each source code document in the collection. The challenge in source code document retrieval is that the standard bag-of-words (BoW) representation model for such documents is likely to result in many false positives being retrieved, because of the use of identical programming language specific constructs and keywords. To address this problem, we make use of an abstract syntax tree (AST) representation of the source code documents. While the IR approach is efficient, it is essentially unsupervised in nature. To further improve its effectiveness, we apply a supervised classifier (pre-trained with features extracted from sample plagiarized source code pairs) on the top ranked retrieved documents. We report experiments on the SOCO-2014 dataset comprising 12K Java source files with almost 1M lines of code. Our experiments confirm that the AST based approach produces significantly better retrieval effectiveness than a standard BoW representation, i.e., the AST based approach is able to identify a higher number of plagiarized source code documents at top ranks in response to a query source code document. The supervised classifier, trained on features extracted from sample plagiarized source code pairs, is shown to effectively filter and thus further improve the ranked list of retrieved candidate plagiarized documents. 相似文献
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PÁID MCGEE 《欧洲特需教育杂志》2013,28(1):48-64
ABSTRACT Special education in Ireland can be understood only against the background of the general system of education which is briefly described at the beginning of this article. While some special provision dates back to the nineteenth century the great expansion of services has happened in the past 30 years. The form of provision reflects the characteristics of the general system. Ireland has no legislation governing special education and the future is not easy to read just now. 相似文献
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Asgeirsdottir BB Sigfusdottir ID Gudjonsson GH Sigurdsson JF 《Child abuse & neglect》2011,35(3):210-219
Objective
To examine whether depressed mood and anger mediate the effects of sexual abuse and family conflict/violence on self-injurious behavior and substance use.Methods
A cross-sectional national survey was conducted including 9,085 16-19 year old students attending all high schools in Iceland in 2004. Participants reported frequency of sexual abuse, family conflict/violence, self-injurious behavior, substance use, depressed mood, and anger.Results
Sexual abuse and family conflict/violence had direct effects on self-injurious behavior and substance use among both genders, when controlling for age, family structure, parental education, anger, and depressed mood. More importantly, the indirect effects of sexual abuse and family conflict/violence on self-injurious behavior among both males and females were twice as strong through depressed mood as through anger, while the indirect effects of sexual abuse and family conflict/violence on substance use were only significant through anger.Conclusions
These results indicate that in cases of sexual abuse and family conflict/violence, substance use is similar to externalizing behavior, where anger seems to be a key mediating variable, opposed to internalizing behavior such as self-injurious behavior, where depressed mood is a more critical mediator.Practice implications
Practical implications highlight the importance of focusing on a range of emotions, including depressed mood and anger, when working with stressed adolescents in prevention and treatment programs for self-injurious behavior and substance use. 相似文献4.
Peter?VamplewEmail authorView authors OrcID profile Richard?Dazeley Cameron?Foale Sally?Firmin Jane?Mummery 《Ethics and Information Technology》2018,20(1):27-40
As the capabilities of artificial intelligence (AI) systems improve, it becomes important to constrain their actions to ensure their behaviour remains beneficial to humanity. A variety of ethical, legal and safety-based frameworks have been proposed as a basis for designing these constraints. Despite their variations, these frameworks share the common characteristic that decision-making must consider multiple potentially conflicting factors. We demonstrate that these alignment frameworks can be represented as utility functions, but that the widely used Maximum Expected Utility (MEU) paradigm provides insufficient support for such multiobjective decision-making. We show that a Multiobjective Maximum Expected Utility paradigm based on the combination of vector utilities and non-linear action–selection can overcome many of the issues which limit MEU’s effectiveness in implementing aligned AI. We examine existing approaches to multiobjective AI, and identify how these can contribute to the development of human-aligned intelligent agents. 相似文献
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