The Experts below are selected from a list of 102 Experts worldwide ranked by ideXlab platform
Janos J Sarbo - One of the best experts on this subject based on the ideXlab platform.
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natural Language Concept analysis
Conference on Computational Natural Language Learning, 1998Co-Authors: Vera Kamphuis, Janos J SarboAbstract:Can we do text analysis without phrase structure? We think the answer could be positive. In this paper we outline the basics of an underlying theory which yields hierarchical structure as the result of more abstract principles relating to the combinatorial properties of linguistic units. We discuss the nature of these properties and illustrate our model with examples.
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CoNLL - Natural Language Concept analysis
Proceedings of the Joint Conferences on New Methods in Language Processing and Computational Natural Language Learning - NeMLaP3 CoNLL '98, 1998Co-Authors: Vera Kamphuis, Janos J SarboAbstract:Can we do text analysis without phrase structure? We think the answer could be positive. In this paper we outline the basics of an underlying theory which yields hierarchical structure as the result of more abstract principles relating to the combinatorial properties of linguistic units. We discuss the nature of these properties and illustrate our model with examples.
Vera Kamphuis - One of the best experts on this subject based on the ideXlab platform.
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natural Language Concept analysis
Conference on Computational Natural Language Learning, 1998Co-Authors: Vera Kamphuis, Janos J SarboAbstract:Can we do text analysis without phrase structure? We think the answer could be positive. In this paper we outline the basics of an underlying theory which yields hierarchical structure as the result of more abstract principles relating to the combinatorial properties of linguistic units. We discuss the nature of these properties and illustrate our model with examples.
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CoNLL - Natural Language Concept analysis
Proceedings of the Joint Conferences on New Methods in Language Processing and Computational Natural Language Learning - NeMLaP3 CoNLL '98, 1998Co-Authors: Vera Kamphuis, Janos J SarboAbstract:Can we do text analysis without phrase structure? We think the answer could be positive. In this paper we outline the basics of an underlying theory which yields hierarchical structure as the result of more abstract principles relating to the combinatorial properties of linguistic units. We discuss the nature of these properties and illustrate our model with examples.
Christophe Godin - One of the best experts on this subject based on the ideXlab platform.
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Understanding patchy landscape dynamics: Towards a landscape Language
PLoS ONE, 2012Co-Authors: Cédric Gaucherel, Frédéric Boudon, Thomas Houet, Mathieu Castets, Christophe GodinAbstract:Patchy landscapes driven by human decisions and/or natural forces are still a challenge to be understood and modelled. No attempt has been made up to now to describe them by a coherent framework and to formalize landscape changing rules. Overcoming this lacuna was our first objective here, and this was largely based on the notion of Rewriting Systems, also called Formal Grammars. We used complicated scenarios of agricultural dynamics to model landscapes and to write their corresponding driving rule equations. Our second objective was to illustrate the relevance of this landscape Language Concept for landscape modelling through various grassland managements, with the final aim to assess their respective impacts on biological conservation. For this purpose, we made the assumptions that a higher grassland appearance frequency and higher land cover connectivity are favourable to species conservation. Ecological results revealed that dairy and beef livestock production systems are more favourable to wild species than is hog farming, although in different ways. Methodological results allowed us to efficiently model and formalize these landscape dynamics. This study demonstrates the applicability of the Rewriting System framework to the modelling of agricultural landscapes and, hopefully, to other patchy landscapes. The newly defined grammar is able to explain changes that are neither necessarily local nor Markovian, and opens a way to analytical modelling of landscape dynamics.
Christian Becker - One of the best experts on this subject based on the ideXlab platform.
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tasklets overcoming heterogeneity in distributed computing systems
International Conference on Distributed Computing Systems Workshops, 2016Co-Authors: Dominik Schafer, Janick Edinger, Sebastian Vansyckel, Justin Mazzola Paluska, Christian BeckerAbstract:Distributed computing is a good alternative to expensive supercomputers. There are plenty of frameworks that enable programmers to harvest remote computing power. However, until today, much computation power in the edges of the Internet remains unused. While idle devices could contribute to a distributed environment as generic computation resources, computation-intense applications could use this pool of resources to enhance their execution quality. In this paper, we identify heterogeneity as a major burden for distributed and edge computing. Heterogeneity is present in multiple forms. We draw our vision of a comprehensive distributed computing system and show where existing frameworks fall short in dealing with the heterogeneity of distributed computing. Afterwards, we present the Tasklet system, our approach for a distributed computing framework. Tasklets are fine-grained computation units that can be issued for remote and local execution. We tackle the different dimensions of heterogeneity and show how to make use of available computation power in edge resources. In our prototype, we use middleware and virtualization technologies as well as a host Language Concept.
Miao Jian-ming - One of the best experts on this subject based on the ideXlab platform.
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Model of Cross-Language Information Retrieval Based on Language Concept Space
Computer Engineering, 2006Co-Authors: Miao Jian-mingAbstract:This paper presents a model of cross-Language information retrieval(CLIR) based on Language Concept space(LCS), the model takes formalized context framework which is formed in Language Concept space as mediated interface, the framework is three-coordinated and composed of domain, situation and background. The model can avoid the disadvantage of the word sense ambiguity which occurs in the traditional CLIR. The experiments indicate that the LCS based CLIR system has good performance.
