Titlebook: Learning Structure and Schemas from Documents; Marenglen Biba,Fatos Xhafa Book 2011 Springer-Verlag GmbH Berlin Heidelberg 2011 Computatio

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Emanuele Salerno,Pasquale Savino,Anna Tonazzini. These tunneling experiments are obtained by contacting metallic SWNTs to two nanofabricated gold electrodes. Electrostatic force microscopy (EFM) measurements show that the measured resistance is due to the contact resistance from the transport barrier formed at the electrode/nanotube junction. Th

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Gianni Costa,Alfredo Cuzzocrea,Giuseppe Manco,Riccardo Ortale stock of the progress made to date. It is my hope that this book will not only provide a useful account of much of this progress, but that it will also help stimulate the future vigorous development of this field.978-1-4613-8542-4Series ISSN 0072-7830 Series E-ISSN 2196-9701

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Andrea Manconi,Patricia Rodriguez-Tomé stock of the progress made to date. It is my hope that this book will not only provide a useful account of much of this progress, but that it will also help stimulate the future vigorous development of this field.978-1-4613-8542-4Series ISSN 0072-7830 Series E-ISSN 2196-9701

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Automatic Document Layout Analysis through Relational Machine Learning,nately, due to the variety of document styles and formats, the automatically found structure often needs to be manually adjusted. We propose the application of supervised Machine Learning techniques to infer correction rules to be applied to forthcoming documents. A first-order logic representation

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Transductive Learning of Logical Structures from Document Images, exploiting the large amount of information conveyed in the unlabeled documents and by the contiguity of the concept of positive autocorrelation with the smoothness assumption which characterizes the transductive setting. The classifier takes advantage of discovered emerging patterns that permit us

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Mining Biomedical Text towards Building a Quantitative Food-Disease-Gene Network,modules: (1) named entity recognition, which extracts five types of entities including foods, chemicals, diseases, proteins and genes; (2) relationship extraction: A verb-centric approach is implemented to extract binary relationships between two entities; (3) relationship polarity and strength anal

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