An Assessment of Sentence Simplification Methods in Extractive Text Summarization-Reference-Cited by-同舟云学术

An Assessment of Sentence Simplification Methods in Extractive Text Summarization

Published:2020-09-23 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Symposium on Document Engineering 2020
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Author:

Vale Rafaella¹,Lins Rafael Dueire²,Ferreira Rafael³

Affiliation:

1. Centro de Informática, Universidade Federal de Pernambuco, Recife, Brazil

2. Univ. Rural Federal de Pernambuco, Universidade Federal de Pernambuco, Recife, Brazil

3. Departamento de Computação, Univ. Federal Rural de Pernambuco, Recife, Brazil

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3395027.3419588

Reference49 articles.

1. Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473 (2014). Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473 (2014).

2. Towards Cohesive Extractive Summarization through Anaphoric Expression Resolution

3. Syntactic Sentence Simplification for French

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