[PDF] Top 20 Improved semantic graph-based plagiarism detection

... Text Graph-Based Representation does not only represent the content of a text document as a graph, but it also captures the underlying semantic meaning in terms of the relationships among its ... See full document

... automatic detection of bullying messages in social media possible, and this could help to construct a healthy and safe social media ...named Semantic-Enhanced Marginalized Denoising Auto-Encoder (smSDA) is ... See full document

... and semantic levels in text ...of semantic similarity between terms and ...frequently improved as refinements of ...[16]. Semantic SNA and ontology building benefit each other, as defined in ... See full document

... the semantic aspect of a given ...its plagiarism detection architecture, but most of them use the word level for its vector representation, so they are used only for the detection of ... See full document

... Protection of digital documents from illegal copy has received much attention recently. Most of techniques for copy case detection are based on ideas of substring matching. In paper [3] string matching ... See full document

... evaluate semantic parsers—most using graph-based or transition-based parsing methods ...a semantic graph via a learned statistical model, without any explicit characterization of ... See full document

... A document may be seen as a list of terms, list of key- words, and set of related words or concepts. It seems obvious that it is not the same to have just simple words as the basic items of the representation, that to ... See full document

... of plagiarism location with a differing level of ...recognizing plagiarism, to be specific extraneous and ...Latent Semantic Analysis (LSA), Stylometry and Support Vector Machines ...LSA based ... See full document

... An information retrieval technique worth mentioning is the one created by Broder, called Shingles [20, 21]. This technique was developed for finding duplicate and near du- plicate documents on the web. Each document is ... See full document

... identified based on three decision conditions; word overlap, word difference, and size ...for plagiarism detection, using syntactic-semantic ... See full document

... introduce graph-based per- formance measures for code plagiarism detection that are intended for unsupervised ...the detection approaches that were sub- mitted to the first PAN ... See full document

... of Atyrau Oil Refinery. We can conclude that the proposed approach to the formulation and solution of the problem is more efficient, since the results of the comparison, i.e., the criterion for analyzing the results of ... See full document

... simple plagiarism detection using simple sentence based on POS parsing ...a plagiarism sentence that has been ...paraphrase plagiarism very well due to the change of the structure and ... See full document

... about plagiarism detection and many algorithms have been developed to detect plagiarism, but a few of it take into consideration semantic meaning, that many of it depends on string matching, ... See full document

... content- based image retrieval or bi-modal MIRS implement image mining [7] and find image in medical resource database [8] that applying image annotation and image processing techniques (extracting features of ... See full document

... In this paper we have introduced a new web-based tool that can be used to browse and to access graph-based semantic models based on distribu- tional semantics. In its current form, it ... See full document

... extracting semantic components like answer type, focus, event, ...explored semantic units based on their discourse relations via rule-based ... See full document

... and semantic relations. Indeed, many research works base their semantic textual similarity measures on annotating texts or extracting specific knowledge from an external knowledge ... See full document

... constructing semantic networks is based on word embedding, which is a popular method of representing words as vectors in a multi-dimensional ...document, semantic and syntactic similarity, relations ... See full document

... Plagiarism detection is a topic that has always received some interest. Authors have worried about other people stealing their intellectual property, in other words, having their work pla- giarized. With ... See full document