Unifying Cross-lingual Summarization and Machine Translation with Compression Rate

Author:

Bai Yu1,Huang Heyan2,Fan Kai3,Gao Yang4,Zhu Yiming4,Zhan Jiaao4,Chi Zewen4,Chen Boxing3

Affiliation:

1. Beijing Institute of Technology & Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications, Beijing, China

2. Beijing Institute of Technology & Southeast Academy of Information Technology, Beijing, China

3. Alibaba DAMO Academy, Hangzhou, China

4. Beijing Institute of Technology, Beijing, China

Funder

Joint Funds of the National Natural Science Foundation of China

Publisher

ACM

Reference31 articles.

1. Improving Performance of Text Summarization

2. Yu Bai , Yang Gao , and Heyan Huang . 2021. Cross-Lingual Abstractive Summarization with Limited Parallel Resources . In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) . Association for Computational Linguistics , Online , 6910--6924. https://doi.org/10. 1865 3/v1/2021.acl-long.538 Yu Bai, Yang Gao, and Heyan Huang. 2021. Cross-Lingual Abstractive Summarization with Limited Parallel Resources. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). Association for Computational Linguistics, Online, 6910--6924. https://doi.org/10.18653/v1/2021.acl-long.538

3. Jointly Learning to Align and Summarize for Neural Cross-Lingual Summarization

4. Controllable Abstractive Summarization

5. The challenges of automatic summarization

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2. Summarize While Translating: Universal Model With Parallel Decoding for Summarization and Translation;2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU);2023-12-16

3. English-Arabic Text Translation and Abstractive Summarization Using Transformers;2023 20th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA);2023-12-04

4. Multi-path Based Self-adaptive Cross-lingual Summarization;Knowledge Science, Engineering and Management;2023

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