44 research outputs found

    Off the Beaten Path: Let's Replace Term-Based Retrieval with k-NN Search

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    Retrieval pipelines commonly rely on a term-based search to obtain candidate records, which are subsequently re-ranked. Some candidates are missed by this approach, e.g., due to a vocabulary mismatch. We address this issue by replacing the term-based search with a generic k-NN retrieval algorithm, where a similarity function can take into account subtle term associations. While an exact brute-force k-NN search using this similarity function is slow, we demonstrate that an approximate algorithm can be nearly two orders of magnitude faster at the expense of only a small loss in accuracy. A retrieval pipeline using an approximate k-NN search can be more effective and efficient than the term-based pipeline. This opens up new possibilities for designing effective retrieval pipelines. Our software (including data-generating code) and derivative data based on the Stack Overflow collection is available online

    Der Elternbildfragebogen für Kinder- und Jugendliche (EBF-KJ). Ergebnisse zur Reliabilität und Validität

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    Der EBF-KJ ist ein klinisch ausgerichteter Fragebogen zur Erfassung der Repräsentation der Eltern-Kind-Beziehung aus der Sicht von Kindern und Jugendlichen. Er basiert auf der systemischen Familientheorie und der Familienstresstheorie. Der Fragebogen umfasst 36 Items pro Elternteil, die sich auf drei Ressourcenskalen (Kohäsion, Identifikation, Autonomie), fünf Risikoskalen (Konflikte, Ablehnung/Gleichgültigkeit, Bestrafung, emotionale Grenzüberschreitung, Ängste/Überprotektion) und die Zusatzskala Hilfe verteilen. Der vorliegende Beitrag begründet die inhaltliche Konstruktion und stellt wichtige psychometrische Eigenschaften des EBF-KJ vor. Insgesamt wurden 785 Schüler sowie 197 Patienten einer Kinder- und Jugendpsychiatrischen Klinik im Alter von 10 bis 20 Jahren (M: 14,1) untersucht. Konfirmatorische Faktorenanalysen bestätigten die faktorielle Validität. Die interne Konsistenz lag bei 12 Skalen über .80. Weiterhin belegten systematische Korrelationen zwischen dem EBF-KJ und dem FEE (Schumacher, Eisemann & Brähler, 2000) die konvergente und diskriminante Validität beider Verfahren. Alle Skalen des EBF-KJ wiesen signifikante Zusammenhänge mit psychopathologischen Symptomen in Eltern- und Jugendfragebögen auf. ABSTRACT: Conceptually, the PRSQ is based on systemic family theory and family stress theory. The questionnaire consists of 36 items representing three resource-scales (”cohesion”, ”identification”, ”autonomy”), five risk-scales (”conflicts”, ”rejection/neglect”, ”punishment”, ”emotional burden”, ”fears/overprotection”) and one additional scale ”aid”. The study establishes the theoretical framework and presents main psychometric properties. A school-based sample of 785 participants and a clinic-referred sample of 197 outpatients aged 10 to 20 years (mean: 14.1) were surveyed. Construct validity was shown by confirmatory factor analyses. The internal consistencies of 12 of the 16 PRSQ scales were above .80. Systematic correlations between the German EMBU (FEE, Schumacher et al., 2000) and the PRSQ scales pointed to convergent and discriminant validity. Moreover, all PRSQ scales turned out to be significantly correlated with psychopathological symptoms as measured by questionnaires

    Tritium and argon39^{39} in stone and iron meteorites

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    Tritium and argon-39 measurements of stone and iron meteorites are reported and discussed. The tritium values of stone meteorites are in general higher than those found in other laboratories. The tritium decay rates in irons were low but a relatively high tritium value was measured in the rim of the meteorites. Factors which may influence the production rates are discussed and it is concluded that the average cosmic-ray flux which irradiated the meteorites must be at least a factor of two higher than the values reported by MacDonald for the cosmic-ray intensity at the top of the earth atmosphere. </jats:p

    Vergleich von Praxiskonzepten zur wertorientierten Unternehmenssteuerung

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    Der Arbeitskreis Internes Rechnungswesen gibt einen Einblick in die wertorientierten Steuerungskonzepte der Unternehmen BASF, RWE, ThyssenKrupp, Volkswagen und BOSCH. Dabei wird deutlich, dass trotz aller Plausibilität und Einfachheit der Grundidee ihre Umsetzung in die Praxis schwierig ist und angepasst an die konkreten Rahmenbedingungen eines Unternehmens wie Größe, Risikoprofil und Ziele, aber auch in Abhängigkeit des historisch gewachsenen Steuerungsverständnisses eines Konzerns erfolgt. Das Bild der wertorientierten Steuerung fällt dementsprechend differenziert aus. Auch werden einige technische Umsetzungsfragen nach wie vor kontrovers diskutiert. The German working group Internes Rechnungswesen provides insight into value-based management concepts based on experience with BASF, RWE, ThyssenKrupp, Volkswagen and Bosch. It is shown that, in spite of the plausibility and simplicity of the basic idea underlying value-based management, the practical implementation remains challenging and always requires adjustments to suit the characteristics of corporations such as their size, risk profile or strategic goals as well as their management philosophy. Therefore, the findings regarding the utilization of value-based management vary considerably. Furthermore, some technical questions related to implementation, which are still controversial, are discussed

    Learning Dense Models of Query Similarity from User Click Logs

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    The goal of this work is to integrate query similarity metrics as features into a dense model that can be trained on large amounts of query log data, in order to rank query rewrites. We propose features that incorporate various notions of syntactic and semantic similarity in a generalized edit distance frame-work. We use the implicit feedback of user clicks on search results as weak labels in training linear ranking models on large data sets. We optimize different ranking objectives in a stochastic gradient descent framework. Our experiments show that a pairwise SVM ranker trained on multipartite rank levels outperforms other pairwise and listwise ranking methods under a variety of evaluation metrics
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