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Titlebook: Indigenous Black Theology; Toward an African-Ce Jawanza Eric Clark Book 2012 Jawanza Eric Clark 2012 Africa.African.America.black church.ch

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發(fā)表于 2025-3-21 16:28:24 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Indigenous Black Theology
副標(biāo)題Toward an African-Ce
編輯Jawanza Eric Clark
視頻videohttp://file.papertrans.cn/464/463604/463604.mp4
叢書(shū)名稱(chēng)Black Religion/Womanist Thought/Social Justice
圖書(shū)封面Titlebook: Indigenous Black Theology; Toward an African-Ce Jawanza Eric Clark Book 2012 Jawanza Eric Clark 2012 Africa.African.America.black church.ch
描述This work is concerned with the way Black Christian formation, because of the acceptance of universal, absolute, and exclusive Christian doctrines, seems to justify and even encourage anti-African sentiment.
出版日期Book 2012
關(guān)鍵詞Africa; African; America; black church; church; critique; experience; future; knowledge; theology
版次1
doihttps://doi.org/10.1057/9781137002839
isbn_softcover978-1-349-43395-7
isbn_ebook978-1-137-00283-9Series ISSN 2945-6975 Series E-ISSN 2945-6983
issn_series 2945-6975
copyrightJawanza Eric Clark 2012
The information of publication is updating

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發(fā)表于 2025-3-21 22:13:56 | 只看該作者
Jawanza Eric Clarkthe simple sum of word embeddings (SOWE). However, very few methods demonstrate the ability to reverse the process – recovering sentences from sentence embeddings. Amongst the many sentence embeddings, SOWE has been shown to maintain semantic meaning, so in this paper we introduce a method for movin
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發(fā)表于 2025-3-22 03:56:01 | 只看該作者
Jawanza Eric Clarktweets for example) and then to trace the history of each term. Similar history indicates a relationship between terms. This indication can be validated using further processing. For example, if the term t1 and t2 were frequently used in Twitter at certain days, and there is a match in the frequency
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發(fā)表于 2025-3-22 04:43:08 | 只看該作者
Jawanza Eric Clarktweets for example) and then to trace the history of each term. Similar history indicates a relationship between terms. This indication can be validated using further processing. For example, if the term t1 and t2 were frequently used in Twitter at certain days, and there is a match in the frequency
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發(fā)表于 2025-3-22 09:49:26 | 只看該作者
Jawanza Eric Clarkitionally approached through heuristic finite-state rules. Observing variation in tokenization conventions across corpora and processing tasks, we train and test multiple . binary sequence labelers and obtain substantial reductions in tokenization error rate over off-the-shelf standard tools. From a
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ide coverage, i.e. they cover, ideally, all words. However, we often encounter words in real world applications that are not available in a single vector-based model. In this paper, we present a novel Neural Network (NN) based approach for obtaining representations for words that are missing in a .
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發(fā)表于 2025-3-23 09:14:34 | 只看該作者
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