Siamese hierarchical attention networks for extractive summarization

Author:

González José-Ángel1,Segarra Encarna1,García-Granada Fernando1,Sanchis Emilio1,Hurtado Llu’ıs-F.1

Affiliation:

1. Departament de Sistemes Informàtics i Computació, Universitat Politècnica de València, Camí de Vera sn, València, Spain

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference29 articles.

1. N. Begum , M. Fattah , and F. Ren . Automatic text summarization using support vector machine 5(7) (2009), 1987–1996.

2. The use of mmr, diversity-based reranking for reordering documents and producing summaries;Carbonell;In Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR ’98,1998

3. J. Cheng and M. Lapata . Neural summarization by extracting sentences and words. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016, August 7-12, 2016, Berlin, Germany, Volume 1: Long Papers, 2016.

4. Indexing by latent semantic analysis;Deerwester;Journal of the American Society for Information Science,1990

5. Lexrank: Graph-based lexical centrality as salience in text summarization;Erkan;J. Artif. Int. Res,2004

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