Search (20 results, page 1 of 1)

  • × theme_ss:"Referieren"
  1. Kuhlen, R.: Abstracts, abstracting : intellektuelle und maschinelle Verfahren (1990) 0.00
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    Year
    1990
  2. Cleveland, D.B.; Cleveland, A.D.: Introduction to abstracting and indexing (1990) 0.00
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    Classification
    Z695.9.C592 1990
    LCC
    Z695.9.C592 1990
    Year
    1990
  3. Cleveland, D.B.; Cleveland, A.D.: Introduction to abstracting and indexing (2001) 0.00
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    Classification
    Z695.9.C592 1990
    LCC
    Z695.9.C592 1990
  4. Neumann-Duscha, I.: Über die Qualität von Referaten (1990) 0.00
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    Source
    Mitteilungen der Gesellschaft für Bibliothekswesen und Dokumentation des Landbaus. 1990, H.46, S.53-70
    Year
    1990
  5. Endres-Niggemeyer, B.: Kognitive Modellierung des Abstracting (1991) 0.00
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    Source
    Deutscher Dokumentartag 1990. 1. Deutsch-deutscher Dokumentartag, 25.-27.9.90, Fulda. Proceedings. Hrsg. W. Neubauer u. U. Schneider-Briehn
  6. Bakewell, K.G.B.; Rowland, G.: Indexing and abstracting (1993) 0.00
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    Abstract
    State of the art review of UK developments in indexing and abstracting druing the period 1986-1990 covering: bibliographies of indexing and abstracting; British standards (including the revised British Standard on indexing, BS 3700); Wheatley Medal and Carey Award; a list of indexes published during this period; the role of the computer and automatic indexing; hypermedia; PRECIS; POPSI, relational indexing; thesauri; education and training; the indexing process, newspaper indexing; fiction indexes; the indexing profession; and a review of abstracting and indexing services
    Source
    British librarianship and information work 1986-1990. Ed. by D. Bromley and A.M. Allott
  7. Reischer, J.; Lottes, D.; Meier, F.; Stirner, M.: Evaluation von Summarizing-Systemen : Kommerzielle und freie Systeme im Vergleich (2010) 0.00
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    Year
    2010
  8. Koltay, T.: Abstracts and abstracting : a genre and set of skills for the twenty-first century (2010) 0.00
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    Classification
    Z695.9 .K65 2010
    LCC
    Z695.9 .K65 2010
    Year
    2010
  9. Alonso, M.I.; Fernández, L.M.M.: Perspectives of studies on document abstracting : towards an integrated view of models and theoretical approaches (2010) 0.00
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    Source
    Journal of documentation. 66(2010) no.4, S.563-584
    Year
    2010
  10. Hartley, J.; Betts, L.: Common weaknesses in traditional abstracts in the social sciences (2009) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.10, S.2010-2018
  11. Ruda, S.: Abstracting: eine Auswahlbibliographie (1992) 0.00
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    Abstract
    Die vorliegende Auswahlbibliographie ist in 9 Themenbereiche unterteilt. Der erste Abschnitt enthält Literatur, in der auf Abstracts und Abstracting-Verfahren allgemein eingegangen und ein Überblick über den Stand der Forschung gegeben wird. Im nächsten Abschnitt werden solche Aufsätze referiert, die die historische Entwicklung des Abstracting beschreiben. Im dritten Teil sind Abstracting-Richtlinien verschiedener Institutionen aufgelistet. Lexikalische, syntaktische und semantische Textkondensierungsverfahren sind das Thema der in Abschnitt 4 präsentierten Arbeiten. Textstrukturen von Abstracts werden unter Punkt 5 betrachtet, und die Arbeiten des nächsten Themenbereiches befassen sich mit dem Problem des Schreibens von Abstracts. Der siebte Abschnitt listet sog. 'maschinelle' und maschinen-unterstützte Abstracting-Methoden auf. Anschließend werden 'maschinelle' und maschinenunterstützte Abstracting-Verfahren, Abstracts im Vergleich zu ihren Primärtexten sowie Abstracts im allgemeien bewertet. Den Abschluß bilden Bibliographien
  12. Koltay, T.: ¬A hypertext tutorial on abstracting for library science students (1995) 0.00
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    Date
    27. 1.1996 18:22:06
  13. Montesi, M.; Urdiciain, B.G.: Recent linguistic research into author abstracts : its value for information science (2005) 0.00
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    Abstract
    This paper is a review of genre analysis of author abstracts carried out in the area of English for Special Purposes (ESP) since 1990. Given the descriptive character of such analysis, it can be valuable for Information Science (IS), as it provides a picture of the variation in author abstracts, depending an the discipline, culture and language of the author, and the envisaged context. The authors claim that such knowledge can be useful for information professionals who need to revise author abstracts, or use them for other activities in the organization of knowledge, such as subject analysis and control of vocabulary. With this purpose in mind, we summarize various findings of ESP research. We describe how abstracts vary in structure, content and discourse, and how linguists explain such variations. Other factors taken into account are the stylistic and discoursal features of the abstract, lexical choices, and the possible sources of blas. In conclusion, we show how such findings can have practical and theoretical implications for IS.
  14. Palais, E.S.: Abstracting for reference librarians (1988) 0.00
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    Source
    Reference librarian. 1988, no.22, S.297-308
  15. Wang, F.L.; Yang, C.C.: ¬The impact analysis of language differences on an automatic multilingual text summarization system (2006) 0.00
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    Abstract
    Based on the salient features of the documents, automatic text summarization systems extract the key sentences from source documents. This process supports the users in evaluating the relevance of the extracted documents returned by information retrieval systems. Because of this tool, efficient filtering can be achieved. Indirectly, these systems help to resolve the problem of information overloading. Many automatic text summarization systems have been implemented for use with different languages. It has been established that the grammatical and lexical differences between languages have a significant effect on text processing. However, the impact of the language differences on the automatic text summarization systems has not yet been investigated. The authors provide an impact analysis of language difference on automatic text summarization. It includes the effect on the extraction processes, the scoring mechanisms, the performance, and the matching of the extracted sentences, using the parallel corpus in English and Chinese as the tested object. The analysis results provide a greater understanding of language differences and promote the future development of more advanced text summarization techniques.
  16. Hartley, J.; Sydes, M.: Which layout do you prefer? : an analysis of readers' preferences for different typographic layouts of structured abstracts (1996) 0.00
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    Source
    Journal of information science. 22(1996) no.1, S.27-37
  17. Ward, M.L.: ¬The future of the human indexer (1996) 0.00
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    Date
    9. 2.1997 18:44:22
  18. Wan, X.; Yang, J.; Xiao, J.: Incorporating cross-document relationships between sentences for single document summarizations (2006) 0.00
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    Source
    Research and advanced technology for digital libraries : 10th European conference, proceedings / ECDL 2006, Alicante, Spain, September 17 - 22, 2006
  19. Ou, S.; Khoo, C.; Goh, D.H.; Heng, H.-Y.: Automatic discourse parsing of sociology dissertation abstracts as sentence categorization (2004) 0.00
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    Content
    1. Introduction This paper reports our initial effort to develop an automatic method for parsing the discourse structure of sociology dissertation abstracts. This study is part of a broader study to develop a method for multi-document summarization. Accurate discourse parsing will make it easier to perform automatic multi-document summarization of dissertation abstracts. In a previous study, we determined that the macro-level structure of dissertation abstracts typically has five sections (Khoo et al., 2002). In this study, we treated discourse parsing as a text categorization problem - assigning each sentence in a dissertation abstract to one of the five predefined sections or categories. Decision tree induction, a machine-learning method, was applied to word tokens found in the abstracts to construct a decision tree model for the categorization purpose. Decision tree induction was selected primarily because decision tree models are easy to interpret and can be converted to rules that can be incorporated in other computer programs. A well-known decision-tree induction program, C5.0 (Quinlan, 1993), was used in this study.
  20. Hartley, J.; Sydes, M.; Blurton, A.: Obtaining information accurately and quickly : are structured abstracts more efficient? (1996) 0.00
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    Source
    Journal of information science. 22(1996) no.5, S.349-356