@inproceedings{ying-etal-2021-longsumm,
title = "{L}ong{S}umm 2021: Session based automatic summarization model for scientific document",
author = "Ying, Senci and
Yan Zhao, Zheng and
Zou, Wuhe",
booktitle = "Proceedings of the Second Workshop on Scholarly Document Processing",
month = jun,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.sdp-1.12",
doi = "10.18653/v1/2021.sdp-1.12",
pages = "97--102",
abstract = "Most summarization task focuses on generating relatively short summaries. Such a length constraint might not be appropriate when summarizing scientific work. The LongSumm task needs participants generate long summary for scientific document. This task usual can be solved by language model. But an important problem is that model like BERT is limit to memory, and can not deal with a long input like a document. Also generate a long output is hard. In this paper, we propose a session based automatic summarization model(SBAS) which using a session and ensemble mechanism to generate long summary. And our model achieves the best performance in the LongSumm task.",
}
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%0 Conference Proceedings
%T LongSumm 2021: Session based automatic summarization model for scientific document
%A Ying, Senci
%A Yan Zhao, Zheng
%A Zou, Wuhe
%S Proceedings of the Second Workshop on Scholarly Document Processing
%D 2021
%8 jun
%I Association for Computational Linguistics
%C Online
%F ying-etal-2021-longsumm
%X Most summarization task focuses on generating relatively short summaries. Such a length constraint might not be appropriate when summarizing scientific work. The LongSumm task needs participants generate long summary for scientific document. This task usual can be solved by language model. But an important problem is that model like BERT is limit to memory, and can not deal with a long input like a document. Also generate a long output is hard. In this paper, we propose a session based automatic summarization model(SBAS) which using a session and ensemble mechanism to generate long summary. And our model achieves the best performance in the LongSumm task.
%R 10.18653/v1/2021.sdp-1.12
%U https://aclanthology.org/2021.sdp-1.12
%U https://doi.org/10.18653/v1/2021.sdp-1.12
%P 97-102
Markdown (Informal)
[LongSumm 2021: Session based automatic summarization model for scientific document](https://aclanthology.org/2021.sdp-1.12) (Ying et al., sdp 2021)
ACL