Number of found records: 59
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KINTSCH, Eileen |
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Macroprocesses and Microprocesses in the Development of Summarization Skill |
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Report research 143, 1989 |
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On line (09/2005) |
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A study investigated how students' mental representation of an expository text and the inferences they used in summarizing varied as a function of text difficulty and of differences in the task. Subjects, 96 college students and students from grades 6 and 10, wrote summaries of expository texts and answered orally several probe questions about the content. Reading difficulty was systematically manipulated at the microstructure and macrostructure processing levels. Results supported the prediction of qualitative changes in the way the meaning is represented by different age groups in different text conditions which are related to the amount and kinds of inferential processes on which the summaries were based. Results also indicated that although college students generalized the content more in summarizing texts with poor macrostructure, these same texts interfered with the sixth graders' ability to infer or select text-based macropropositions. (Seven figures of data are included; and 47 references and examples of expository text are appended.) (DB) |
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Content area reading; Content area writing; Reader text relationship; Text structure |
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LORENZONI, Lucas; DACAS, Roberto; APARO, Ugo Luigi |
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The Quality of abstracting medical information from the medical record: the impact of training programmes |
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PDF |
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Objective: To evaluate the impact of a programme of training, education and awareness on the quality of the data collected through discharge abstracts.
Study design: Three random samples of hospital discharge abstracts relating to three different periods were studied. Quality control to evaluate the impact of systematic training and education activities was performed by checking the quality of abstracting medical records.
Discussion: Training and continuous monitoring, and feedback of information to departments have proved to be successful in improving the quality of abstracting information at patient level from the medical record. The effort to increase administrative data quality at hospital level will facilitate the use of those data sets for internal quality management activities and for population-based quality of care studies. (AU) |
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administrative data; hospital information system; quality control; training and education |
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MILLER, H. |
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The multiple dimensions of information quality |
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Information Systems Management, 1996, vol.13, n.2, pp.79-82 |
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On line (13/05/2005) |
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Information quality occurs along 10 dimensions: relevance, accuracy, timeliness, completeness, coherence, format, accessibility, compatibility, security, validity. It is defined by the its users, and is constantly changing over time. information systems in business must understand these dimensions and its dynamic nature to use information as a product, as a component of their production processes, and as a vehicle for managerial planning and control. (AU) |
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Computer applications; Business management; Information theory |
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SORMUNEN, Eero; KEKÄLÄINEN, Jaana; KOIVISTO, Jussi; JÄRVELIN, Kalervo |
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Document text characteristics affect the ranking of the most relevant documents by expanded structured queries. |
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Journal of Documentation, 2001, vol. 57, n.3, pp.358-376. |
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On line (13/05/2005) |
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The increasing flood of documentary information through the Internet and other information sources challenges the developers of information retrieval systems. It is not enough that an IR system is able to make a distinction between relevant and non-relevant documents. The reduction of information overload requires that IR systems provide the capability of screening the most valuable documents out of the mass of potentially or marginally relevant documents. This paper introduces a new concept-based method to analyse the text characteristics of documents at varying relevance levels. The results of the document analysis were applied in an experiment on query expansion (QE) in a probabilistic IR system. Statistical differences in textual characteristics of highly relevant and less relevant documents were investigated by applying a facet analysis technique. In highly relevant documents a larger number of aspects of the request were discussed, searchable expressions for the aspects were distributed over a larger set of text paragraphs, and a larger set of unique expressions were used per aspect than in marginally relevant documents. A query expansion experiment verified that the findings of the text analysis can be exploited in formulating more effective queries for best match retrieval in the search for highly relevant documents. The results revealed that expanded queries with concept-based structures performed better than unexpanded queries or natural language queries. Further, it was shown that highly relevant documents benefit essentially more from the concept-based QE in ranking than marginally relevant documents. (AU) |
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Databases; ranking ;Relevance;Text analysis |
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