HierMDS: a hierarchical multi-document summarization model with global–local document dependencies

Author:

Li Shuimin,Xu JungangORCID

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference39 articles.

1. Hu Y, Chen Y, Chou H (2017) Opinion mining from online hotel reviews - a text summarization approach. Inf Process Manag 53(2):436–449

2. Paulus R, Xiong C, Socher R (2018) A Deep Reinforced Model for Abstractive Summarization. In: Proceedings of 6th international conference on learning representations, Vancouver, BC, Canada

3. Baralis E, Cagliero L, Jabeen S, Fiori A (2012) Multi-document summarization exploiting frequent itemsets. In: Proceedings of the ACM symposium on applied computing, SAC 2012, Riva, Trento, Italy, March 26-30, 2012, pp 782–786

4. Xu Y, Zhang X, Quan G, Wang Y (2013) MRS for multi-document summarization by sentence extraction. Telecommun Syst 53(1):91–98

5. Mani I, Bloedorn E (1997) Multi-document summarization by graph search and matching. In: Proceedings of the fourteenth national conference on artificial intelligence and ninth innovative applications of artificial intelligence conference, AAAI 97, IAAI 97, July 27-31, 1997, Providence, Rhode Island, USA, pp 622–628

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