Number of found records: 30
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SMITH, Elizabeth Overman |
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Identifying Competencies--Developing Meta-Skills |
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Report reseach (143), speech / meeting papers (150), 1998 |
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On line (12/05/2005) |
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A study examined a set of 78 journal articles identified as influential in technical communication (published between 1988 and 1992) and a preliminary list of 63 articles frequently cited between 1993 and 1997. The texts were organized into six topical groups: profession, rhetoric and composition, document design, social construction and collaboration, and workplace communication. These topics identify the competencies and meta-skills with which technical communication directs its problem-solving activities. Results indicate that the competencies and accompanying meta-skills reveal the literacies (stories) associated with technical communication that establish its place as a discipline--in particular, concerns for document design, text production, and workplace communication. (The table listing texts frequently cited by authors in technical communication journals is presented.) (DB) |
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Intellectual Disciplines; Journal Articles; Scholarly Journals; Technical Writing; Text Structure |
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TEUFEL, Simone; MOENS, Marc |
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Summarising Scientific Articles - Experiments with Relevance and Rhetorical Status. |
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Computational Linguistics, 2002, vol.28, n.4. |
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PDF |
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In this paper we propose a strategy for the summarisation of scientific articles which concentrates on the rhetorical status of statements in the article: material for summaries is selected in such a way that summaries can highlight the new contribution of the source paper and situate it with respect to earlier work. We provide a gold standard for summaries of this kind consisting of a substantial corpus of conference articles in computational linguistics annotated with human judgements of the rhetorical status and relevance of each sentence in the articles. We present several experiments measuring our judges' agreement on these annotations. We also present an algorithm which, on the basis of the annotated training material, selects content from unseen articles and classifies it into a fixed set of seven rhetorical categories. The output of this extraction and classification system can be viewed as a single-document summary in its own right; alternatively, it provides starting material for the generation of task-oriented and user-tailored summaries designed to give users an overview of a scientific field. (AU) |
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document structure; summary; |
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WEI, Chih-Ping; YANG, Chin-Sheng; HSIAO, Han-Wei; CHENG, Tsang-Hsiang |
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Combining preference- and content-based approaches for improving document clustering effectiveness |
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Information Processing & Management; 42 (2) Mar 2006, pp.350-372 ISSN 0306-4573 |
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On line ( 05/2006) (Only UGR) |
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E-commerce and knowledge management applications generate and consume tremendous amounts of online information that is typically available as textual documents. To facilitate subsequent access of and leverage from these textual documents, the efficient and effective management of the ever-increasing volume of documents is essential to both organizations and individuals. Document management practices suggest the popularity of using categories (e.g., folders) for organizing, archiving, and accessing documents. Document clustering represents an appealing approach to enable organizations or individuals to create and maintain document categories automatically. Existing document clustering techniques usually group together similar documents on the basis of their textual content similarity. However, such content-based approaches operate at the lexical level and suffer greatly from the word mismatch problem. Therefore, this study aims to address this problem by exploiting users' document grouping preferences, as exhibited in those individuals' folder sets, to support document clustering. Specifically, we propose a hybrid document clustering technique that combines preference- and content-based approaches. Using a traditional content-based and a preference/content switching document clustering technique as performance benchmarks, our empirical evaluation results show that the proposed hybrid technique improves the clustering effectiveness measured by both cluster precision and cluster recall. (Original abstract) |
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Online information retrieval; Searching; Computerized records management; Document management systems; Clustering |
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CRAVEN, Timothy C. |
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An experiment in the use of the tools for computer-assisted abstracting. |
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ASIS 1996 Annual Conference Proceedings, October 19-24, 1996 |
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On line ( 15/06/2004) |
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Experimental subjects wrote abstracts of an article using a simplified version of the TEXNET abstracting assistance software. In addition to the full text, the 35 subjects were presented with either keywords or phrases extracted automatically. The resulting abstracts, and the times taken, were recorded automatically; some additional information was gathered by oral questionnaire. Results showed considerable variation among subjects, but 37% found the keywords or phrases "quite" or "very" useful in writing their abstracts. Statistical analysis failed to support several hypothesized relations: phrases were not viewed as significantly more helpful than keywords; and abstracting experience did not correlate with originality of wording, approximation of the author abstract, or greater conciseness. Results also suggested possible modifications to the software (AU) |
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TEXNET; abstracting assistance software |
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