Syntax–Aware graph convolutional network for the recognition of chinese implicit inter-sentence relations-Reference-Cited by-同舟云学术

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Syntax–Aware graph convolutional network for the recognition of chinese implicit inter-sentence relations

Published:2022-05-07 Issue:14 Volume:78 Page:16529-16552
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Sun Kaili,Li Yuan,Zhang Huyin,Guo Chi,Yuan Linfei,Hu Quan

Funder

National Key Research and Development Program of China

National Office for Philosophy and Social Sciences

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s11227-022-04476-6.pdf

Reference44 articles.

1. Lin Y, Ji H, Huang F, Wu L (2020) A joint neural model for information extraction with global features. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pp 7999–8009

2. Yung F (2014) Towards a discourse relation-aware approach for Chinese-English machine translation. In: Proceedings of the 52th Annual Meeting of the Association for Computational Linguistics, pp 18–25, https://doi.org/10.3115/v1/P14-3003

3. Deng Y, Xie Y, Li Y, Yang M, Du N, Fan W, Lei K, Shen Y (2019) Multi-task learning with multi-view attention for answer selection and knowledge base question answering. In: Proceedings of the 33th AAAI Conference on Artificial Intelligence, pp 6318–6325, https://doi.org/10.1609/aaai.v33i01.33016318

4. Aliakbarpour H, Manzuri MT, Rahmani AM (2021) Improving the readability and saliency of abstractive text summarization using combination of deep neural networks equipped with auxiliary attention mechanism. J Supercomput. https://doi.org/10.1007/s11227-021-03950-x

5. Verga P, Strubell E, McCallum A (2018) Simultaneously self-attending to all mentions for full-abstract biological relation extraction. In: Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics, pp 872–884. https://doi.org/10.18653/v1/N18-1080

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