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In this article, we introduce an out-of-the-box automatic term weighting method for information retrieval. The method is based on measuring the degree of divergence from independence of terms from documents in terms of their frequency of occurrence. Divergence from independence has a well-establish underling statistical theory. It provides a plain, mathematically tractable, and nonparametric way of term weighting, and even more it requires no term frequency normalization. Besides its sound theoretical background, the results of the experiments performed on TREC test collections show that its performance is comparable to that of the state-of-the-art term weighting methods in general. It is a simple but powerful baseline alternative to the state-of-the-art methods with its theoretical and practical aspects. 相似文献
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Canan A. Agirtan Taner Akar Seher Akbas Recep Akdur Cahide Aydin Gulsen Aytar Suat Ayyıldız Sevgi Baskan Tugba Belgemen Ozdecan Bezirci Ufuk Beyazova Fatma Yucel Beyaztas Bora Buken Erhan Buken Aysu D. Camurdan Demet Can Sevgi Canbaz Gurol Cantürk Meltem Ceyhan Abdulhakim Coskun Kadriye Yurdakok 《Child abuse & neglect》2009,33(4):247-255
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Taner Edis 《Science & Education》2009,18(6-7):885-903
Familiar Western debates about religion, science, and science education have parallels in the Islamic world. There are difficulties reconciling conservative, traditional versions of Islam with modern science, particularly theories such as evolution. As a result, many conservative Muslim thinkers are drawn toward creationism, hopes of Islamizing science, or other ways to retain the primacy of faith while continuing efforts to catch up with modern technology. Muslims argue that science and Islam coexist in harmony, but both intellectually and institutionally, the Islamic world harbors many tensions between science and religion. 相似文献
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Ozkan Aslan Serkan Gunal Bekir Taner Dincer 《Information processing & management》2018,54(6):1262-1276
Chunking is a task which divides a sentence into non-recursive structures. The primary aim is to specify chunk boundaries and classes. Although chunking generally refers to simple chunks, it is possible to customize the concept. A simple chunk is a small structure, such as a noun phrase, while constituent chunk is a structure that functions as a single unit in a sentence, such as a subject. For an agglutinative language with a rich morphology, constituent chunking is a significant problem in comparison to simple chunking. Most of Turkish studies on this issue use the IOB tagging schema to mark the boundaries.In this study, we proposed a new simpler tagging schema, namely OE, in constituent chunking for Turkish. “E” represents the rightmost token of a chunk, while “O” stands for all other items. In reference to OE, we also used a schema called OB, where “B” represents the leftmost token of a chunk. We aimed to identify both chunk boundaries and chunk classes using the conditional random fields (CRF) method. The initial motivation was to employ the fact that Turkish phrases are head-final for chunking. In this context, we assumed that marking the end of a chunk (OE) would be more advantageous than marking the beginning of a chunk (OB). In support of the assumption, the test results reveal that OB has the worst performance and OE is significantly a more successful schema in many cases. Especially in long sentences, this contrast is more obvious. Indeed, using OE means simply marking the head of the phrase (chunk). Since the head and the distinctive label “E” are aligned, CRF finds the chunk class more easily by using the information contained in the head. OE also produced more successful results than the schemas available in the literature.In addition to comparing tagging schemas, we performed four analyses. Along with the examination of window size, which is a parameter of CRF, it is adequate to select and accept this value as 3. A comparison of the evaluation measures for chunking revealed that F-score was a more balanced measure in contrast to token accuracy and sentence accuracy. As a result of the feature analysis, syntactic features improves chunking performance significantly under all conditions. Yet when withdrawing these features, a pronounced difference between OB and OE is forthcoming. In addition, flexibility analysis shows that OE is more successful in different data. 相似文献
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Innovative, high-technology industries are commonly described as drivers of regional development. ‘Tech’ workers earn high wages, but they are also said to generate knock-on effects throughout the local economies that host them, spurring growth in jobs and wages in nontradable activities. At the same time, in iconic high-tech agglomerations like the San Francisco Bay Area, the home of Silicon Valley, the success of the tech industry creates tensions, in part as living costs rise beyond the reach of many non-tech workers. Across a large sample of U.S. cities, this paper explores these issues systematically. Combining annual data on wages, employment and prices from the Quarterly Census of Employment and Wages, the Department of Housing and Urban Development and the Consumer Price Index, it estimates how growth in tradable tech employment affects the real, living-cost deflated wages of local workers in nontradable sectors. Results indicate that high-technology employment has significant, positive, but modest effects on the real wages of workers in nontradable sectors. These effects appear to be spread consistently across different kinds of nontradable activities. In terms of substantive wider impacts, tech appears benign, though fairly ineffectual. 相似文献
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