Awesome

Datasets for Cross-Lingual Summarization

We have constructed two datasets for cross-lingual summarization: ZH2ENSUM and EN2ZHSUM. You can download here.

Citation

We would appreciate your citation if you find this is beneficial.

@inproceedings{zhu-etal-2019-ncls,
    title = "{NCLS}: Neural Cross-Lingual Summarization",
    author = "Zhu, Junnan  and Wang, Qian  and Wang, Yining  and Zhou, Yu and Zhang, Jiajun  and Wang, Shaonan  and Zong, Chengqing",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)",
    month = nov,
    year = "2019",
    address = "Hong Kong, China",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/D19-1302",
    doi = "10.18653/v1/D19-1302",
    pages = "3045--3055",
}

Contact

If you have any question, please feel free to contact us by sending an email to {junnan.zhu, yzhou, jjzhang, cqzong}@nlpr.ia.ac.cn.

License

This project is licensed under the BSD License - see LICENSE.md for details.

Copyright

The copyright of this dataset belongs to the authors, and the dataset is only used for research purposes. Display, reproduction, transmission, distribution or publication of this dataset is prohibited.