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A Dataset and Baselines for Multilingual Reply Suggestion (ACL 2021)

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Multilingual Reply Suggestion (MRS)

MRS is a multilingual dataset for automatic reply suggestion. It is also an interesting benchmark for cross-lingual generalization. See our ACL 2021 paper for more details:

Mozhi Zhang, Wei Wang, Budhaditya Deb, Guoqing Zheng, Milad Shokouhi, Ahmed Hassan Awadallah. A Dataset and Baselines for Multilingual Reply Suggestion.

You can download MRS here.

The evaluation script and code for baseline models are here.

If you find MRS useful, please cite:

@inproceedings{zhang-2021-mrs,
    title = {A Dataset and Baselines for Multilingual Reply Suggestion},
    author = {Mozhi Zhang and Wei Wang and Budhaditya Deb and Guoqing Zheng and Milad Shokouhi and Ahmed Hassan Awadallah},
    booktitle = {Proceedings of the Association for Computational Linguistics},
    doi = "10.18653/v1/2021.acl-long.97",
    year = {2021}
}

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