Search (116 results, page 5 of 6)

  • × theme_ss:"Automatisches Abstracting"
  1. Plaza, L.; Stevenson, M.; Díaz, A.: Resolving ambiguity in biomedical text to improve summarization (2012) 0.00
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    Source
    Information processing and management. 48(2012) no.4, S.755-766
  2. Maybury, M.T.: Generating summaries from event data (1995) 0.00
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    Source
    Information processing and management. 31(1995) no.5, S.735-751
  3. Moens, M.-F.; Uyttendaele, C.: Automatic text structuring and categorization as a first step in summarizing legal cases (1997) 0.00
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    Source
    Information processing and management. 33(1997) no.6, S.727-737
  4. Moens, M.-F.; Uyttendaele, C.; Dumotier, J.: Abstracting of legal cases : the potential of clustering based on the selection of representative objects (1999) 0.00
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    Source
    Journal of the American Society for Information Science. 50(1999) no.2, S.151-161
  5. Craven, T.C.: Abstracts produced using computer assistance (2000) 0.00
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    Source
    Journal of the American Society for Information Science. 51(2000) no.8, S.745-756
  6. Endres-Niggemeyer, B.: Summarizing information (1998) 0.00
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    Pages
    VII, 375 S. + 1 CD-ROM
  7. Pinto, M.: Abstracting/abstract adaptation to digital environments : research trends (2003) 0.00
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    Source
    Journal of documentation. 59(2003) no.5, S.581-608
  8. Sparck Jones, K.: Automatic summarising : the state of the art (2007) 0.00
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    Source
    Information processing and management. 43(2007) no.6, S.1449-1481
  9. Hobson, S.P.; Dorr, B.J.; Monz, C.; Schwartz, R.: Task-based evaluation of text summarization using Relevance Prediction (2007) 0.00
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    Source
    Information processing and management. 43(2007) no.6, S.1482-1499
  10. Hirao, T.; Okumura, M.; Yasuda, N.; Isozaki, H.: Supervised automatic evaluation for summarization with voted regression model (2007) 0.00
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    Source
    Information processing and management. 43(2007) no.6, S.1521-1535
  11. Nomoto, T.: Discriminative sentence compression with conditional random fields (2007) 0.00
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    Source
    Information processing and management. 43(2007) no.6, S.1571-1587
  12. Steinberger, J.; Poesio, M.; Kabadjov, M.A.; Jezek, K.: Two uses of anaphora resolution in summarization (2007) 0.00
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    Source
    Information processing and management. 43(2007) no.6, S.1663-1680
  13. Dorr, B.J.; Gaasterland, T.: Exploiting aspectual features and connecting words for summarization-inspired temporal-relation extraction (2007) 0.00
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    Source
    Information processing and management. 43(2007) no.6, S.1681-1704
  14. Díaz, A.; Gervás, P.: User-model based personalized summarization (2007) 0.00
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    Source
    Information processing and management. 43(2007) no.6, S.1715-1734
  15. Shen, D.; Yang, Q.; Chen, Z.: Noise reduction through summarization for Web-page classification (2007) 0.00
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    Source
    Information processing and management. 43(2007) no.6, S.1735-1747
  16. Wang, W.; Hwang, D.: Abstraction Assistant : an automatic text abstraction system (2010) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.9, S.1790-1799
  17. Abdi, A.; Idris, N.; Alguliev, R.M.; Aliguliyev, R.M.: Automatic summarization assessment through a combination of semantic and syntactic information for intelligent educational systems (2015) 0.00
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    Source
    Information processing and management. 51(2015) no.4, S.340-358
  18. Xu, D.; Cheng, G.; Qu, Y.: Preferences in Wikipedia abstracts : empirical findings and implications for automatic entity summarization (2014) 0.00
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    Source
    Information processing and management. 50(2014) no.2, S.284-296
  19. Martinez-Romo, J.; Araujo, L.; Fernandez, A.D.: SemGraph : extracting keyphrases following a novel semantic graph-based approach (2016) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 67(2016) no.1, S.71-82
  20. Kuhlen, R.: Informationsaufbereitung III : Referieren (Abstracts - Abstracting - Grundlagen) (2004) 0.00
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    Abstract
    Was ein Abstract (im Folgenden synonym mit Referat oder Kurzreferat gebraucht) ist, legt das American National Standards Institute in einer Weise fest, die sicherlich von den meisten Fachleuten akzeptiert werden kann: "An abstract is defined as an abbreviated, accurate representation of the contents of a document"; fast genauso die deutsche Norm DIN 1426: "Das Kurzreferat gibt kurz und klar den Inhalt des Dokuments wieder." Abstracts gehören zum wissenschaftlichen Alltag. Weitgehend allen Publikationen, zumindest in den naturwissenschaftlichen, technischen, informationsbezogenen oder medizinischen Bereichen, gehen Abstracts voran, "prefe-rably prepared by its author(s) for publication with it". Es gibt wohl keinen Wissenschaftler, der nicht irgendwann einmal ein Abstract geschrieben hätte. Gehört das Erstellen von Abstracts dann überhaupt zur dokumentarischen bzw informationswissenschaftlichen Methodenlehre, wenn es jeder kann? Was macht den informationellen Mehrwert aus, der durch Expertenreferate gegenüber Laienreferaten erzeugt wird? Dies ist nicht so leicht zu beantworten, zumal geeignete Bewertungsverfahren fehlen, die Qualität von Abstracts vergleichend "objektiv" zu messen. Abstracts werden in erheblichem Umfang von Informationsspezialisten erstellt, oft unter der Annahme, dass Autoren selber dafür weniger geeignet sind. Vergegenwärtigen wir uns, was wir über Abstracts und Abstracting wissen. Ein besonders gelungenes Abstract ist zuweilen klarer als der Ursprungstext selber, darf aber nicht mehr Information als dieser enthalten: "Good abstracts are highly structured, concise, and coherent, and are the result of a thorough analysis of the content of the abstracted materials. Abstracts may be more readable than the basis documents, but because of size constraints they rarely equal and never surpass the information content of the basic document". Dies ist verständlich, denn ein "Abstract" ist zunächst nichts anderes als ein Ergebnis des Vorgangs einer Abstraktion. Ohne uns zu sehr in die philosophischen Hintergründe der Abstraktion zu verlieren, besteht diese doch "in der Vernachlässigung von bestimmten Vorstellungsbzw. Begriffsinhalten, von welchen zugunsten anderer Teilinhalte abgesehen, abstrahiert' wird. Sie ist stets verbunden mit einer Fixierung von (interessierenden) Merkmalen durch die aktive Aufmerksamkeit, die unter einem bestimmten pragmatischen Gesichtspunkt als wesentlich' für einen vorgestellten bzw für einen unter einen Begriff fallenden Gegenstand (oder eine Mehrheit von Gegenständen) betrachtet werden". Abstracts reduzieren weniger Begriffsinhalte, sondern Texte bezüglich ihres proportionalen Gehaltes. Borko/ Bernier haben dies sogar quantifiziert; sie schätzen den Reduktionsfaktor auf 1:10 bis 1:12
    Pages
    S.189-206

Years

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  • m 5
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