178,826 research outputs found

    Family members with mules and carriage outside James Leslie Hansel farmhouse, Erath County

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    Inscription on back of original: ''James Leslie Hansel home near Stephenville, Tex./ L. to r. Nell Hansel, Sue Hansel, and Less Hansel

    Hansel: A Chinese Few-Shot and Zero-Shot Entity Linking Benchmark

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    Modern Entity Linking (EL) systems entrench a popularity bias, yet there is no dataset focusing on tail and emerging entities in languages other than English. We present Hansel, a new benchmark in Chinese that fills the vacancy of non-English few-shot and zero-shot EL challenges. The test set of Hansel is human annotated and reviewed, created with a novel method for collecting zero-shot EL datasets. It covers 10K diverse documents in news, social media posts and other web articles, with Wikidata as its target Knowledge Base. We demonstrate that the existing state-of-the-art EL system performs poorly on Hansel (R@1 of 36.6% on Few-Shot). We then establish a strong baseline that scores a R@1 of 46.2% on Few-Shot and 76.6% on Zero-Shot on our dataset. We also show that our baseline achieves competitive results on TAC-KBP2015 Chinese Entity Linking task.Comment: WSDM 202

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    jamesrco/LipidPhotoOxBox: LipidPhotoOxBox v1.0.0

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    Initial release of data and code in LipidPhotoOxBox to support Collins, J. R., H. F. Fredricks, J. M. Diaz, J. S. Bowman, C. P. Ward, C. Moreno, K. Longnecker, A. Marchetti, C. M. Hansel, H. W. Ducklow, and B. A. S. Van Mooy (2017), The diverse products and biogeochemical significance of lipid photooxidation in coastal surface waters of West Antarctica

    The Oseen-Navier-Stokes flow in the exterior of a rotating obstacle: The non-autonomous case

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    Consider the incompressible Navier-Stokes flow past a rotating obstacle with a general time-dependent angular velocity and a time-dependent outflow condition at infinity – sometimes called an Oseen condition. By a suitable change of coordinates the problem is transformed to an non-autonomous problem with unbounded drift terms on a fixed exterior domain ΩRd\Omega \subset \R^d. It is shown that the solution to the linearized problem is governed by a strongly continuous evolution system U(t,s)U(t,s) on Lσp(Ω)L^p_\sigma(\Omega) for 1<p<1<p<\infty. Moreover, LpLqL^p-L^q smoothing properties and gradient estimates of U(t,s)U(t,s) are obtained. These results are the key ingredients to show local in time existence of mild solutions to the full nonlinear problem for initial value in Lσp(Ω),pdL^p_\sigma(\Omega), p\ge d

    "Closing the R&D Gap, Evaluating the Sources of R&D Spending"

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    Both spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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