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MTS

Learning towards Abstractive Timeline Summarization

This repository contains dataset for the IJCAI 2019 paper Learning towards Abstractive Timeline Summarization.

About the corpus

MTS corpus consists of 179,423 document-summary pairs, with 169,423 training pairs, 5000 validation and test pairs.

How to get MTS corpus?

Signed the following copyright announcement with your name and organization. Then complete the form online(https://forms.gle/RpWrAuo8bugZqTZ57) and mail to xy-chen#pku.edu.cn ('#'->'@'), we will send you the corpus by e-mail when approved.

Copyright

The original copyright belongs to the source owner.

The copyright of annotation belongs to our group, and they are free to the public.

The dataset is only for research purposes. Without permission, it may not be used for any commercial purposes and distributed to others.

Citation

We appreciate your citation if you find our dataset is beneficial.

@inproceedings{chen2019timeline,
  title={Learning towards Abstractive Timeline Summarization},
  author={Xiuying Chen, Zhangming Chan, Shen Gao, Meng-Hsuan Yu, Dongyan Zhao, Rui Yan},
  booktitle = {IJCAI},
  year = {2019}
}

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Official dataset link for ''Learning towards Abstractive Timeline Summarization''

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