Titlebook: Handbuch psycho-soziale Gestaltung digitaler Produktionsarbeit; Gesundheitsressource Anja Gerlmaier,Erich Latniak Book 2019 Springer Fachme

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diese Fragen exemplarisch für Angelerntentätigkeiten, Facharbeit und Wissensarbeit in der Produktion, und sie veranschaulichen erprobte Gestaltungsansätze und -instrumente für betriebliche Praktiker und Beratende..978-3-658-26154-2

Ballerina

Anja Gerlmaiertiple non-volcanic geohazards, is a clear example of such complex multi-hazard scenarios. With a worrying overpopulation and tourism that make this management difficult, and with emergency plans that do not consider this multi-hazard perspective, natural disasters may accentuate in the near future.

esthetician

Anja Gerlmaier textual structure) as re-ranking mechanisms for GIR. Our results reveal an improvement in mean average precision (MAP) when compared to the traditional vector space model, even if Pseudo Relevance Feedback is employed.

Lasting

Anja Gerlmaiere a robust alias detection method. The proposed method outperforms numerous baselines and previous work on alias extraction on a dataset of personal names, achieving a statistically significant mean reciprocal rank of 0.6718. Experiments carried out using a dataset of location names and Japanese per

vasospasm

Wolfgang Anlauftent’s achievement. Even though adjectives and adverbs are the same in the sense that they modify nouns and verbs, we found that adverbs affects much more than adjectives, as a result. From our experiences so far, we believe that analysis of answers to the evaluations of students toward themselves an

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Anja Gerlmaier,Laura Geigere platform can be viewed as a framework using existing NLP tools. We focus on the efficiency of the platform by distributing linguistic processing on several machines. We carry out an an experiment on 55,329 web documents focusing on biology. These 79 million-word collections of web documents have been processed in 3 days on 16 computers.

Maximizer

Heinz Chrobok,Andre Makarovrom the content. This model proposes the method of automatically tagging which compensate insufficient described content by using multilanguage. Our experimental evaluations showed that users could obtain more appropriate images with this method.