Text Relevance Learning (43 results)

Hardcover. Condition: As New. This book has been in storage since publication and is unread. Hence the description 'as new'. Synopsis: Why do people from similar backgrounds who read the same text construct different meanings? Is there a question behind every reading goal, such that reading is an interactive process of asking and answering of questions? Do people who believe that knowledge is dynamic construct meaning differently than those who believe that knowledge is certain? This volume addresses questions such as these and presents cutting edge research and theory that explores how readers determine text relevance (i.e., the different values they assign to information as they read), how relevance affects understanding, and the implications of these studies for theories of text comprehension. This volume documents in a compelling manner the ongoing international effort to understand how text relevance affects reading and comprehension.…

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Taschenbuch. Condition: Neu. Machine Learning for Text Document Relevance Ranking | Arpana Rawal (u. a.) | Taschenbuch | 180 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659233456 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Reading is a goal directed activity. Text information that closely matches a reader s goal is more relevant, whereas information that does not match the goal is less relevant. Relevance instructions are prompts that provide criteria for focusing reading goals. Relevance instructions help readers generate goals and specific strategies for reading, allocate resources in a more systematic way, and learn more. This book presents a taxonomy of relevance instructions and summarizes research on this topic. A model of goal-focusing is presented that explains how relevance affects text processing. A study examining the effect of specificity of relevance instructions on reading time and learning is presented.…

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The context oriented information retrieval has always been based on some or the other explicit ontologies. The emphasis is laid on on the Implicit Ontologies extracted from input text documents themselves. The research focuses upon design of a system (tool) to rank text documents available in machine-readable format by analyzing them upon softcopies of the syllabus content, through congenial content filtering techniques. The notion of n-gram co-occurrences is used to give the semantic interpretation to the core sentences and their neighboring components. The semantic depths of search key phrases can be learnt by analyzing term-to-term associations from the underlying conceptual dependencies of the extracted content. Two metric measures were chosen for exploring text-semantic depths namely, Topical boundaries and Topical vicinities. The degree of relative relevance was investigated by computing other relevance metric, contextual levels of term-significance from the filtered pages with meaningfully related content. The text-document ranking results were compared for both relevance number and fuzzy-ordering approaches and were found interpretable in finite directions. 180 pp. Englisch.…