Extractive Multi-document Summarization using K-means, Centroid-based Method, MMR, and Sentence Position-Reference-Cited by-同舟云学术

Extractive Multi-document Summarization using K-means, Centroid-based Method, MMR, and Sentence Position

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Tenth International Symposium on Information and Communication Technology - SoICT 2019
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Author:

Manh Hai Cao¹,Le Thanh Huong¹,Minh Tuan Luu¹

Affiliation:

1. Hanoi University of Science and Technology, Vietnam

Publisher

ACM Press

Reference26 articles.

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2. Christopher O. 2015. Understanding LSTM Networks. Retrieved from http://colah.github.io/posts/2015-08-Understanding-LSTMs/.

3. Dragomir R. Radev; Hongyan Jing; Malgorzata Stys; and Daniel Tam. 2004. Centroid-based summarization of multiple documents. In: Inf. Process. Manage., 40(6):919--938

4. DUC 2007: Task, Documents, and Measures. url: https://duc.nist.gov/duc2007/tasks.html. (Last updated: 02 May 2019).

5. E. Hovy and C.-Y. Lin. 1996. Automated text summarization and the SUMMARIST system. In Proc. of a workshop on held at Baltimore, Maryland, pages 197--214, Baltimore, Maryland.

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