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      Combining Evidence with Logic and Preferences to Learn Relations from Structured Few Sparse Textual Data

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      Third International Symposium on Innovation and Information and Communication Technology (ISIICT 2009) (ISIICT)

      Innovation and Information and Communication Technology (ISIICT 2009)

      15 - 17 December 2009

      Structural Constraints, Analysis of Textual Patterns, Learning from Few Examples, Interclass Relationships, Sparse Textual Data

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          Abstract

          In the literature, it is commonly believed that learning from few data problem can be resolved by using classifiers that consider interclass relationships. In this work, we will adopt this point of view in learning from few sparse textual data, essentially, by considering the sparseness of the latter as a good support for inducing theories about generalization. Therefore, we opt for an inductive approach based on combining: evidence-based analysis of patterns, logic and preferences. More precisely, we are interested in supervised learning of biomedical articles by exploiting a multi-scale hybrid description and constrained pattern-based data mining techniques. Unlike existing works, we will highlight the relevance of the absence/weakness of patterns and we will associate to their absence a semantic value compared to their presence. The main characteristic of our approach is that of considering local and global contexts, which connect textual data by introducing regret ratio measures and generalized exclusive patterns in order to avoid a crisp effect between the absence and presence of patterns. Experimental results show the effectiveness of our approach.

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          Most cited references 3

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          Learning with Rare Cases and Small Disjuncts

           Gary M. Weiss (1995)
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            An associative classifier based on positive and negative rules

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              Combining linguistic and structural descriptors for mining biomedical literature

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                Author and article information

                Contributors
                Conference
                December 2009
                December 2009
                : 14-27
                Affiliations
                Paragraph Laboratory EA 384

                Paris 8 University

                2, rue de la liberté 93000

                Saint Denis – France
                Article
                10.14236/ewic/ISIICT2009.2
                © Nadia Zerida et al. Published by BCS Learning and Development Ltd. Third International Symposium on Innovation and Information and Communication Technology (ISIICT 2009), Philadelphia University, Amman, Jordan

                This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                Third International Symposium on Innovation and Information and Communication Technology (ISIICT 2009)
                ISIICT
                3
                Philadelphia University, Amman, Jordan
                15 - 17 December 2009
                Electronic Workshops in Computing (eWiC)
                Innovation and Information and Communication Technology (ISIICT 2009)
                Product
                Product Information: 1477-9358BCS Learning & Development
                Self URI (journal page): https://ewic.bcs.org/
                Categories
                Electronic Workshops in Computing

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