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Titlebook: Masters Theses in the Pure and Applied Sciences; Accepted by Colleges Wade H. Shafer Book 1997 Plenum Press, New York 1997 agricultural eco

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書目名稱Masters Theses in the Pure and Applied Sciences
副標(biāo)題Accepted by Colleges
編輯Wade H. Shafer
視頻videohttp://file.papertrans.cn/626/625587/625587.mp4
圖書封面Titlebook: Masters Theses in the Pure and Applied Sciences; Accepted by Colleges Wade H. Shafer Book 1997 Plenum Press, New York 1997 agricultural eco
描述Masters Theses in the Pure and Applied Sciences was first conceived, published, and disseminated by the Center for Information and Numerical Data Analysis and Synthesis (CINDAS)* at Purdue University in 1957, starting its coverage of theses with the academic year 1955. Beginning with Volume 13, the printing and dis- semination phases of the activity were transferred to University Microfilms/Xerox of Ann Arbor, Michigan, with the thought that such an arrangement would be more beneficial to the academic and general scientific and technical community. After five years of this jOint undertaking we had concluded that it was in the interest of all concerned if the printing and distribution of the volumes were handled by an international publishing house to assure improved service and broader dissemination. Hence, starting with Volume 18, Masters Theses in the Pure and Applied Sciences has been disseminated on a worldwide basis by Plenum Publishing Corporation of New York, and in the same year the coverage was broadened to include Canadian universities. All back issues can also be ordered from Plenum. We have reported in Volume 40 (thesis year 1995) a total of 10,746 thesis titles from 19
出版日期Book 1997
關(guān)鍵詞agricultural economics; biochemistry; chemistry; mechanics; transport
版次1
doihttps://doi.org/10.1007/978-1-4615-5969-6
isbn_softcover978-1-4613-7736-8
isbn_ebook978-1-4615-5969-6
copyrightPlenum Press, New York 1997
The information of publication is updating

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ted answers over time. Thus, the answer selection component plays an important role in a cQA system, which ranks the relevant answers to the given question. With the development of this area, problems of noise prevalence and data sparsity become more tough. In our paper, we consider the task of answ
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ted answers over time. Thus, the answer selection component plays an important role in a cQA system, which ranks the relevant answers to the given question. With the development of this area, problems of noise prevalence and data sparsity become more tough. In our paper, we consider the task of answ
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Wade H. Shaferions in information extraction. Following this trend, recent studies go deeper into learning fine-grained extra-propositional structures, such as negation and speculation. However, most of elaborately-designed experiments reveal that existing extra-proposition models either fail to learn from the co
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Wade H. Shaferions in information extraction. Following this trend, recent studies go deeper into learning fine-grained extra-propositional structures, such as negation and speculation. However, most of elaborately-designed experiments reveal that existing extra-proposition models either fail to learn from the co
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Wade H. Shaferoposed and have achieved certain success. However, due to the scale limitation of corpus, outstanding performance still depends on additional features. Different from previous neural studies employing simple flat word level EDU (Elementary Discourse Unit) representation, we improve the performance o
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