Attentive Encoder-based Extractive Text Summarization
Author:
Affiliation:
1. National University of Defense Technology, Changsha, China
2. University of Amsterdam, Amsterdam, Netherlands
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3269206.3269251
Reference10 articles.
1. D. Bahdanau K. Cho and Y. Bengio. 2015. Neural machine translation by jointly learning to align and translate. In ICLR. D. Bahdanau K. Cho and Y. Bengio. 2015. Neural machine translation by jointly learning to align and translate. In ICLR.
2. J. Cheng and M. Lapata. 2016. Neural summarization by extracting sentences and words. In ACL. 484--494. J. Cheng and M. Lapata. 2016. Neural summarization by extracting sentences and words. In ACL. 484--494.
3. Y. Kim. 2014. Convolutional neural networks for sentence classification. In EMNLP. 1746--1751. Y. Kim. 2014. Convolutional neural networks for sentence classification. In EMNLP. 1746--1751.
4. P. Li W. Lam L. Bing and Z. Wang. 2017. Deep recurrent generative decoder for abstractive text summarization. In EMNLP. 2091--2100. P. Li W. Lam L. Bing and Z. Wang. 2017. Deep recurrent generative decoder for abstractive text summarization. In EMNLP. 2091--2100.
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