Text sets (also referred to as linked text sets, multimodal texts, thematic texts, multi texts, focus units, reading across texts, and paired readings or sets) are utilized in classrooms to promote reading, learning, and understanding of multiple perspectives. There has not bee...
In this essay Ivan Callus provides some reflections on literature in the present. He considers the tenability of the post-literary label and looks at works that might be posited as having some degree of countertextual affinity. The essay, while not setting itself up as a creative piece, deli...
目录 累计评论(0条) This edition does not include illustrations. A major biography of the most modern and the most underrated of English Literature's Great Victorians. Henry James called Robert Browning (1812–89) 'a tremendous and incomparable modern', and the immediacy and colloquial energy of...
The year 2022 was a year of great importance in the history of the Communist Party of China (CPC) and our country. The Party successfully convened its 20th National Congress, during which it drew up an inspiring blueprint for building China into a modern socialist country in all respects. ...
In quantitative text analysis, machine learning refers to the application of algorithms and statistical models to enable computers to identify patterns, trends and relationships in textual data without being explicitly programmed. It involves training these models on large data sets to learn and infer ...
Produced by the Online Distributed Proofreading Team. STUDIES IN LITERATURE BY JOHN MORLEY 1907 NOTE. The contents of the present collection have all been in print before, either in the _Nineteenth Century_ and _Fortnightly Review_, or in some other shap
“data citations” are unique references to data sets in their entirety, or to smaller parts of data sets. A data microcitation is then a fine-grained reference into a data set: for example, “the precise data records actually used in a study” (as defined by the Federation of Earth ...
Presently, as high-throughput screening (HTS), it is applied in a very general manner to synthetic as well as to natural compounds. Experience gathered has confirmed that high-throughput screening allows for the rapid identification of numerous hits, and the literature is full of success stories ...
Text classification is the most fundamental and essential task in natural language processing. The last decade has seen a surge of research in this area due to the unprecedented success of deep learning. Numerous methods, datasets, and evaluation metrics have been proposed in the literature, raising...
Much work in research literature has been dedicated to exploring the compositional operations of words, ranging from simple alge- braic operations [31] to more sophisticated neural networks [41, 19]. Among these approaches, the simplest one is vector addition, in which the representation of a ...