Search (10 results, page 1 of 1)

  • × theme_ss:"Automatisches Abstracting"
  • × year_i:[2010 TO 2020}
  1. Wang, W.; Hwang, D.: Abstraction Assistant : an automatic text abstraction system (2010) 0.01 
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    Abstract
    In the interest of standardization and quality assurance, it is desirable for authors and staff of access services to follow the American National Standards Institute (ANSI) guidelines in preparing abstracts. Using the statistical approach an extraction system (the Abstraction Assistant) was developed to generate informative abstracts to meet the ANSI guidelines for structural content elements. The system performance is evaluated by comparing the system-generated abstracts with the author's original abstracts and the manually enhanced system abstracts on three criteria: balance (satisfaction of the ANSI standards), fluency (text coherence), and understandability (clarity). The results suggest that it is possible to use the system output directly without manual modification, but there are issues that need to be addressed in further studies to make the system a better tool.
  2. Plaza, L.; Stevenson, M.; Díaz, A.: Resolving ambiguity in biomedical text to improve summarization (2012) 0.01 
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    Source
    Information processing and management. 48(2012) no.4, S.755-766
  3. Xiong, S.; Ji, D.: Query-focused multi-document summarization using hypergraph-based ranking (2016) 0.01 
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    Source
    Information processing and management. 52(2016) no.4, S.670-681
  4. 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
  5. 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
  6. Kim, H.H.; Kim, Y.H.: Generic speech summarization of transcribed lecture videos : using tags and their semantic relations (2016) 0.00 
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    Date
    22. 1.2016 12:29:41
  7. Galgani, F.; Compton, P.; Hoffmann, A.: Summarization based on bi-directional citation analysis (2015) 0.00 
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    Source
    Information processing and management. 51(2015) no.1, S.1-24
  8. Sankarasubramaniam, Y.; Ramanathan, K.; Ghosh, S.: Text summarization using Wikipedia (2014) 0.00 
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    Source
    Information processing and management. 50(2014) no.3, S.443-461
  9. Kannan, R.; Ghinea, G.; Swaminathan, S.: What do you wish to see? : A summarization system for movies based on user preferences (2015) 0.00 
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    Source
    Information processing and management. 51(2015) no.3, S.286-305
  10. Abdi, A.; Shamsuddin, S.M.; Aliguliyev, R.M.: QMOS: Query-based multi-documents opinion-oriented summarization (2018) 0.00 
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    Source
    Information processing and management. 54(2018) no.2, S.318-338

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