Automatic Extraction of Commonsense LocatedNear Knowledge

LocatedNear relation is a kind of commonsense knowledge describing two physical objects that are typically found near each other in real life. In this paper, we study how to automatically extract such relationship through a sentence-level relation classifier and aggregating the scores of entity pairs from a large corpus. Also, we release two benchmark datasets for evaluation and future research.Comment: Accepted by ACL 2018. A preliminary version is presented on AKBC@NIPS'1

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N-Jettiness Subtractions for gg→Hgg\to H at Subleading Power

$N$-jettiness subtractions provide a general approach for performing fully-differential next-to-next-to-leading order (NNLO) calculations. Since they are based on the physical resolution variable $N$-jettiness, $\mathcal{T}_N$, subleading power corrections in $\tau=\mathcal{T}_N/Q$, with $Q$ a hard interaction scale, can also be systematically computed. We study the structure of power corrections for $0$-jettiness, $\mathcal{T}_0$, for the $gg\to H$ process. Using the soft-collinear effective theory we analytically compute the leading power corrections $\alpha_s \tau \ln\tau$ and $\alpha_s^2 \tau \ln^3\tau$ (finding partial agreement with a previous result in the literature), and perform a detailed numerical study of the power corrections in the $gg$, $gq$, and $q\bar q$ channels. This includes a numerical extraction of the $\alpha_s\tau$ and $\alpha_s^2 \tau \ln^2\tau$ corrections, and a study of the dependence on the $\mathcal{T}_0$ definition. Including such power suppressed logarithms significantly reduces the size of missing power corrections, and hence improves the numerical efficiency of the subtraction method. Having a more detailed understanding of the power corrections for both $q\bar q$ and $gg$ initiated processes also provides insight into their universality, and hence their behavior in more complicated processes where they have not yet been analytically calculated.Comment: 16 pages, 12 figure

Technical Target Setting in QFD for Web Service Systems using an Artificial Neural Network

There are at least two challenges with quality management of service-oriented architecture based web service systems: 1) how to link its technical capabilities with customer\u27s needs explicitly to satisfy customers\u27 functional and nonfunctional requirements; and 2) how to determine targets of web service design attributes. Currently, the first issue is not addressed and the second one is dealt with subjectively. Quality Function Deployment (QFD), a quality management system, has found its success in improving quality of complex products although it has not been used for developing web service systems. In this paper, we analyze requirements for web services and their design attributes, and apply the QFD for developing web service systems by linking quality of service requirements to web service design attributes. A new method for technical target setting in QFD, based on an artificial neural network, is also presented. Compared with the conventional methods for technical target setting in QFD, such as benchmarking and the linear regression method, which fail to incorporate nonlinear relationships between design attributes and quality of service requirements, it sets up technical targets consistent with relationships between quality of web service requirements and design attributes, no matter whether they are linear or nonlinear

Information Technologies and Elderly Care in China: A New Paradigm

China’s aged population has increased dramatically. Because of the one child policy, China now has fewer and fewer children able to support the elderly. The care of China’s elderly is a huge challenge which requires the exploration of all kinds of elderly care models through intelligence and information management technology advances. With the evolving field of Information Management and with the development of newer and cheaper technology, the time has come for a paradigm shift to be explored. A shift in the way China is managing its technology and culture expectations is necessary to address this unique need. This paper carefully explores possible paradigm shifts which include the combination of cultural expectations, integrating technology, government involvement, health care providers and information management. The paradigm shift uses the work of Davila, Epstein and Shelton (2006) to help develop a Service Innovation paradigm working along with Business and Technology Innovations for the elderly in China