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1
Visual Distractions Effects on Reading in Digital Environments: A Comparison of First and Second English Language Readers
In: OzCHI '15 Proceedings of the Annual Meeting of the Australian Special Interest Group for Computer Human Interaction (2016)
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2
Visual Distractions Effects on Reading in Digital Environments: A Comparison of First and Second English Language Readers
In: OzCHI '15 Proceedings of the Annual Meeting of the Australian Special Interest Group for Computer Human Interaction (2016)
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3
A Term Association Inference Model for Single Documents: A Stepping Stone for Investigation through Information Extraction
Manna, Sukanya; Gedeon, Tamas (Tom). - : Springer, 2015
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4
Multi-disciplinary modality classication for medical images
In: Conference on Multilingual and Multimodal Information Access Evaluation (2015)
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5
Multi-disciplinary modality classication for medical images
In: Conference on Multilingual and Multimodal Information Access Evaluation (2015)
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6
A Term Association Inference Model for Single Documents: A Stepping Stone for Investigation through Information Extraction
Manna, Sukanya; Gedeon, Tamas (Tom). - : Springer, 2015
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7
Gaze Pattern and Reading Comprehension
In: Proceedings of the International Conference on Neural Information Processing (ICONIP 2010) (2015)
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8
Document Classification on Relevance: A Study on Eye-Gaze Patterns for Reading
In: Neural Information Processing (LNCS 7064) (2015)
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9
Tensor Term Indexing: An application of HOSVD for Document Summarization
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)
Abstract: In this paper, a new method for text summarization is proposed by using an extended version of the Tensor Term Importance (TTI) model. This method summarizes documents by extracting important sentences from a document. It improves the per document summarization efficiency by incorporating additional information of the whole document set referring to the same topic (or coherent documents). The basic idea of this approach is to represent the whole document set in a uniform form, in the term-sentence-document tensor, and to use higher-order singular value decomposition (HOSVD) to highlight the important terms in each document. Here, we present two different methods of summarization. In the first method, the sentences having the highly weighted terms are extracted as the important sentences representing the document. The important sentences identified by selecting those that contains more from the important terms. The second model uses a so-called super sentence and uses that to extract other sentences having high similarity with it. Unlike in Latent Semantic Analysis (LSA) where SVD is applied for compressing the sparse term-document matrix and defining latent semantic links between terms, in TTI SVD is used to reduce noise and to highlight the important term-document relations in the document. Our evaluation results show that our TTI based methods are more similar to human generated summaries than other automated summarizers which work on single documents at a time.
Keyword: Artif; Document matrices; Document summarization; Evaluation results; Extended versions; Extracting important sentences; Higher order singular value decomposition; Keywords: Basic idea; Latent Semantic Analysis; Latent semantics; Term importance; Text summarization
URL: http://hdl.handle.net/1885/53331
https://doi.org/10.1109/ISCIII.2009.5342266
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10
Enhancement of Subjective Logic for Semantic Document Analysis Using Hierarchical Document Signature
In: Proceedings of the International Conference on Neural Information Processing (ICONIP 2010) (2015)
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11
Gaze Pattern and Reading Comprehension
In: Proceedings of the International Conference on Neural Information Processing (ICONIP 2010) (2015)
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12
Semantic Hierarchical Document Signature For Determining Sentence Similarity
In: Proceedings of the 19th international conference on Fuzzy Systems (2015)
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13
Document Classification on Relevance: A Study on Eye-Gaze Patterns for Reading
In: Neural Information Processing (LNCS 7064) (2015)
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14
Semantic Hierarchical Document Signature For Determining Sentence Similarity
In: Proceedings of the 19th international conference on Fuzzy Systems (2015)
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15
Tensor Term Indexing: An application of HOSVD for Document Summarization
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)
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16
Significant term extraction by Higher Order SVD
In: Proceedings of the 7th International Symposium on Applied Machine Intelligence and Informatics Proceedings (2015)
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17
Enhancing comprehension of Web information for users with special linguistic needs
In: Journal of communication. - Cary, NC : Oxford University Press 48 (1998) 2, 86-108
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