Document concept lattice for text understanding and summarization

Author:

Ye Shiren,Chua Tat-Seng,Kan Min-Yen,Qiu Long

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference40 articles.

1. Fast algorithms for mining association rules in large databases;Agrawal,1994

2. Using lexical chains for text summarization;Barzilay,1997

3. Blair-Goldensohn, S., Evans, D., Hatzivassiloglou, V., McKeown, K., Nenkova, A., & Passonneau, R. (2004). Columbia University at DUC 2004, DUC.

4. Bosma, W., (2005). Extending answers using discourse structure. In: Saggion, H., & Minel, J.-L. (Eds.), RANLP workshop on crossing barriers in text summarization research. Incoma Ltd., Borovets, Bulgaria, pp. 2–9, ISBN 954-90906-8-X.

5. Carbonell, J., & Goldstein, J. (1998). The use of mmr, diversity-based reranking for reordering documents and producing summaries. In SIGIR. pp. 335–336.

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