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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 8 of 8 1 A Term Association Inference Model for Single Documents: A Stepping Stone for Investigation through Information Extraction Manna, Sukanya; Gedeon, Tamas (Tom). - : Springer, 2015 BASE Show details 2 A Term Association Inference Model for Single Documents: A Stepping Stone for Investigation through Information Extraction Manna, Sukanya; Gedeon, Tamas (Tom). - : Springer, 2015 BASE Show details 3 Tensor Term Indexing: An application of HOSVD for Document Summarization Manna, Sukanya; Petres, Zoltan; Gedeon, Tamas (Tom) In: Proceedings of the 4th International Symposium on Computational Intelligence Informatics (ISCII 2009) ; http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?asf_arn=null&asf_iid=null&asf_pun=5339523&asf_in=null&asf_rpp=null&asf_iv=null&asf_sp=null&asf_pn=1 (2015) BASE Show details 4 Enhancement of Subjective Logic for Semantic Document Analysis Using Hierarchical Document Signature Manna, Sukanya; Gedeon, Tamas (Tom); Mendis, B Sumudu In: Proceedings of the International Conference on Neural Information Processing (ICONIP 2010) (2015) Abstract: In this paper, an extension of Subjective Logic (SL) is presented which uses semantic information from a document to find 'opinions' about a sentence. This method computes semantic overlap of events (words or sentences) using Hierarchical Document Signature (HDS) and uses it as evidence to formulate SL belief measures to order sentences according to their importance. Stronger the opinion, more is the significance. These significant sentences then form extractive summaries of the document. The experimental results show that summaries generated by this method are more similar to human generated ones have outperformed the baseline summaries on average over all the data sets considered. Keyword: Data processing; Hierarchical document; Hierarchical Document Signature; Keywords: evidence; opinions; semantic; Semantics evidence; Subjective Logic; summarization URL: https://doi.org/10.1007/978-3-642-17537-4_37 http://hdl.handle.net/1885/55140 BASE Hide details 5 Semantic Hierarchical Document Signature For Determining Sentence Similarity Manna, Sukanya; Gedeon, Tamas (Tom) In: Proceedings of the 19th international conference on Fuzzy Systems (2015) BASE Show details 6 Semantic Hierarchical Document Signature For Determining Sentence Similarity Manna, Sukanya; Gedeon, Tamas (Tom) In: Proceedings of the 19th international conference on Fuzzy Systems (2015) BASE Show details 7 Tensor Term Indexing: An application of HOSVD for Document Summarization Manna, Sukanya; Petres, Zoltan; Gedeon, Tamas (Tom) In: Proceedings of the 4th International Symposium on Computational Intelligence Informatics (ISCII 2009) ; http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?asf_arn=null&asf_iid=null&asf_pun=5339523&asf_in=null&asf_rpp=null&asf_iv=null&asf_sp=null&asf_pn=1 (2015) BASE Show details 8 Significant term extraction by Higher Order SVD Manna, Sukanya; Petres, Zoltan; Gedeon, Tamas (Tom) In: Proceedings of the 7th International Symposium on Applied Machine Intelligence and Informatics Proceedings (2015) BASE Show details

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