Solving submodular text processing problems using influence graphs

Author:

Vardasbi AliORCID,Faili Heshaam,Asadpour Masoud

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems

Reference56 articles.

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2. Alexandrescu A, Kirchhoff K (2007) Data-driven graph construction for semi-supervised graph-based learning in NLP. In: Proceedings of the main conference human language technologies 2007: the conference of the North American chapter of the association for computational linguistics, pp 204–211

3. Arthur D, Vassilvitskii S (2007) k-means++: the advantages of careful seeding. In: Proceedings of the eighteenth annual ACM-SIAM symposium on discrete algorithms. Society for Industrial and Applied Mathematics, pp 1027–1035

4. Badanidiyuru A, Mirzasoleiman B, Karbasi A, Krause A (2014) Streaming submodular maximization. In: Proceedings of the 20th ACM SIGKDD international conference on knowledge discovery and data mining—KDD’14, pp 671–680

5. Baralis E, Cagliero L, Mahoto N, Fiori A (2013) GRAPHSUM: discovering correlations among multiple terms for graph-based summarization. Inf Sci 249:96–109

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1. g-Sum: A Graph Summarization Approach for a Single Large Social Network;ICST Transactions on Scalable Information Systems;2018-07-13

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