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Titlebook: Advances in Natural Language Processing; 9th International Co Adam Przepiórkowski,Maciej Ogrodniczuk Conference proceedings 2014 Springer I

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Distributional Context Generalisation and Normalisation as a Mean to Reduce Data Sparsity: Evaluatiot encodes a first-order quantifier-free formula, and then checks for unsatisfiability of this formula using a linear-time algorithm [14]. The low polynomial complexity is important, since all computational logic methods can be understood as instances of Herbrand’s reduction of the provability (and t
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Stanford Typed Dependencies: Slavic Languages Applicationmender system is a powerful information filtering tool to support user interaction and promote products. Dealing with determining customer interests, graph-based collaborative filtering is recently the most popular technique. Its only drawback is high computing cost, leads to bad scalability and inf
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Towards a Weighted Induction Method of Dependency AnnotationFormal Concept Analysis. Such representations, however, are difficult to comprehend by untrained users and in general in cases where lattices are large. We tackle this problem by automatically generating textual explanations for lattices using standard scales. Our method is based on the general noti
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Semantic and Syntactic Model of Natural Language Based on Non-negative Matrix and Tensor Factorizatiwas used in order to develop many applications in different domains. Although the framework was used in several application domain and well received by end-users, they highlighted an urgent need for traceability within the information fusion process. We propose here an improvement of the toolbox, in
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Experiments on the Identification of Predicate-Argument Structure in Polishues either visualise a single gene profile or a single tissue profile, whereas the technique presented here combines both - visualising the genes expressed in each tissue in a group of tissues (the components of the developing heart, for example). The technique is presented using data, provided by t
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Development of Amharic Morphological Analyzer Using Memory-Based Learningng to the source language is not relevant for the functional behaviour of a model transformation. For this reason we only have to analyze a weaker property, called translation confluence. This leads to our second main result, the functional behaviour of model transformations, which is applied to our
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