Number of found records: 30
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PÁDUA, Agílio |
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(Scientific Document structure). La structure d´un document scientifique. |
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Presentation and definition of each part of the structure of a scientific document. |
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structure; scientific document |
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ROBIN, Jacques; MCKEOWN, Kathleen R. |
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Empirically designing and evaluating a new revision-based model for summary generation. |
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Artificial Intelligence, 1996, vol. 85, n. 1-2, pp.135-79. |
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On line (12/05/2005) |
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Contribution to a special volume on empirical methods in artificial intelligence research. Presents a system for summarizing quantitative data in natural language, focusing on the use of a corpus of basketball game summaries, drawn from online news services, to empirically shape the system design and to evaluate the approach. Initial corpus analysis revealed characteristics of textual summaries that challenge the capabilities of current language generation systems. A revision based corpus analysis was used to identify and encode the revision rules of the system. Presents a quantitative evaluation, using several test corpora, to measure the robustness of the new revision based model. (AU) |
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Automatic text analysis; Automatic abstracting; Revision based models |
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SADOSKI, Mark |
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Impact of Concreteness on Comprehensibility, Interest, and Memory for Text: Implications for Dual Coding Theory and Text Design |
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Journal of Educational Psychology, 1993, vol.85, n.2, pp. 291-304 |
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On line (12/05/2005) |
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The comprehensibility, interestingness, familiarity, and memorability of concrete and abstract instructional texts were studied in 4 experiments involving 221 college students. Results indicate that concreteness (ease of imagery) is the variable overwhelmingly most related to comprehensibility and recall. Dual coding theory and schema theory are discussed. (DB) |
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Imagery; Interests; Memory; Reading Comprehension; Text Structure |
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SALTON, Gerard; SINGHAL, Amit; BUCKLEY, Chris; MITRA, Mandar |
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Automatic Text Decomposition Using Text Segments and Text Themes. |
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Technical Report Technical Report TR-95-1555, Department of Computer Science, Cornell University, 1995. |
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On line ( 07/2005)) |
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With the widespread use of full-text information retrieval, passage-retrieval techniques are becoming increasingly popular. Larger texts can then be replaced by important text excerpts, thereby simplifying the retrieval task and improving retrieval effectiveness. Passage level evidence about the use of words in local contexts is also useful for resolving language ambiguities and improving retrieval output. Two main text decomposition strategies are introduced in this study, including a chronological decomposition into text segment, and semantic decomposition into text themes. The interaction between text segments and text themes is then used to characterize text structure and to formulate specifications for information retrieval, text traversal, and text summarization (AU) |
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text structuring; text decomposition; segments; themes; information retrieval; passage retrieval; text summarization |
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