Search (119 results, page 6 of 6)

  1. 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) 6.91
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  2. Kannan, R.; Ghinea, G.; Swaminathan, S.: What do you wish to see? : A summarization system for movies based on user preferences (2015) 6.91
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  3. Galgani, F.; Compton, P.; Hoffmann, A.: Summarization based on bi-directional citation analysis (2015) 6.91
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  4. Sankarasubramaniam, Y.; Ramanathan, K.; Ghosh, S.: Text summarization using Wikipedia (2014) 6.91
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  5. Xu, D.; Cheng, G.; Qu, Y.: Preferences in Wikipedia abstracts : empirical findings and implications for automatic entity summarization (2014) 6.91
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  6. Plaza, L.; Stevenson, M.; Díaz, A.: Resolving ambiguity in biomedical text to improve summarization (2012) 6.91
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  7. Martinez-Romo, J.; Araujo, L.; Fernandez, A.D.: SemGraph : extracting keyphrases following a novel semantic graph-based approach (2016) 6.91
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  8. Yulianti, E.; Huspi, S.; Sanderson, M.: Tweet-biased summarization (2016) 6.91
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  9. Xiong, S.; Ji, D.: Query-focused multi-document summarization using hypergraph-based ranking (2016) 6.91
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  10. Atanassova, I.; Bertin, M.; Larivière, V.: On the composition of scientific abstracts (2016) 6.91
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  11. Finegan-Dollak, C.; Radev, D.R.: Sentence simplification, compression, and disaggregation for summarization of sophisticated documents (2016) 6.91
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  12. Kim, H.H.; Kim, Y.H.: Video summarization using event-related potential responses to shot boundaries in real-time video watching (2019) 6.91
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  13. Abdi, A.; Shamsuddin, S.M.; Aliguliyev, R.M.: QMOS: Query-based multi-documents opinion-oriented summarization (2018) 6.91
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  14. Kim, H.H.; Kim, Y.H.: ERP/MMR algorithm for classifying topic-relevant and topic-irrelevant visual shots of documentary videos (2019) 6.91
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  15. Wang, S.; Koopman, R.: Embed first, then predict (2019) 6.91
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  16. Rodríguez-Vidal, J.; Carrillo-de-Albornoz, J.; Gonzalo, J.; Plaza, L.: Authority and priority signals in automatic summary generation for online reputation management (2021) 6.91
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  17. Gomez, J.; Allen, K.; Matney, M.; Awopetu, T.; Shafer, S.: Experimenting with a machine generated annotations pipeline (2020) 6.91
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  18. Oh, H.; Nam, S.; Zhu, Y.: Structured abstract summarization of scientific articles : summarization using full-text section information (2023) 6.91
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  19. Jiang, Y.; Meng, R.; Huang, Y.; Lu, W.; Liu, J.: Generating keyphrases for readers : a controllable keyphrase generation framework (2023) 6.91
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