YAP3: improved detection of similarities in computer program and other texts
SIGCSE '96 Proceedings of the twenty-seventh SIGCSE technical symposium on Computer science education
The decomposition of human-written summary sentences
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Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Feature Selection for Machine Learning: Comparing a Correlation-Based Filter Approach to the Wrapper
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A program for aligning sentences in bilingual corpora
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Bitext maps and alignment via pattern recognition
Computational Linguistics
Aligning sentences in parallel corpora
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
Hitiqa: High-quality intelligence through interactive question answering
Natural Language Engineering
On the mono- and cross-language detection of text reuse and plagiarism
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Evaluating text reuse discovery on the web
Proceedings of the third symposium on Information interaction in context
Automatic detection of local reuse
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Towards document plagiarism detection based on the relevance and fragmentation of the reused text
MICAI'10 Proceedings of the 9th Mexican international conference on Advances in artificial intelligence: Part I
Developing a corpus of plagiarised short answers
Language Resources and Evaluation
Word length n-grams for text re-use detection
CICLing'10 Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing
Detecting text reuse with modified and weighted n-grams
SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
UKP: computing semantic textual similarity by combining multiple content similarity measures
SemEval '12 Proceedings of the First Joint Conference on Lexical and Computational Semantics - Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation
Determining and characterizing the reused text for plagiarism detection
Expert Systems with Applications: An International Journal
Folktale classification using learning to rank
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Paraphrase acquisition via crowdsourcing and machine learning
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Sections on Paraphrasing; Intelligent Systems for Socially Aware Computing; Social Computing, Behavioral-Cultural Modeling, and Prediction
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In this paper we present results from the METER (MEasuring TExt Reuse) project whose aim is to explore issues pertaining to text reuse and derivation, especially in the context of newspapers using newswire sources. Although the reuse of text by journalists has been studied in linguistics, we are not aware of any investigation using existing computational methods for this particular task. We investigate the classification of newspaper articles according to their degree of dependence upon, or derivation from, a newswire source using a simple 3-level scheme designed by journalists. Three approaches to measuring text similarity are considered: n-gram overlap, Greedy String Tiling, and sentence alignment. Measured against a manually annotated corpus of source and derived news text, we show that a combined classifier with features automatically selected performs best overall for the ternary classification achieving an average F1-measure score of 0.664 across all three categories.