@inproceedings{cohan-etal-2022-overview-first,
title = "Overview of the First Shared Task on Multi Perspective Scientific Document Summarization ({M}u{P})",
author = "Cohan, Arman and
Feigenblat, Guy and
Ghosal, Tirthankar and
Shmueli-Scheuer, Michal",
editor = "Cohan, Arman and
Feigenblat, Guy and
Freitag, Dayne and
Ghosal, Tirthankar and
Herrmannova, Drahomira and
Knoth, Petr and
Lo, Kyle and
Mayr, Philipp and
Shmueli-Scheuer, Michal and
de Waard, Anita and
Wang, Lucy Lu",
booktitle = "Proceedings of the Third Workshop on Scholarly Document Processing",
month = oct,
year = "2022",
address = "Gyeongju, Republic of Korea",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.sdp-1.32",
pages = "263--267",
abstract = "We present the main findings of MuP 2022 shared task, the first shared task on multi-perspective scientific document summarization. The task provides a testbed representing challenges for summarization of scientific documents, and facilitates development of better models to leverage summaries generated from multiple perspectives. We received 139 total submissions from 9 teams. We evaluated submissions both by automated metrics (i.e., Rouge) and human judgments on faithfulness, coverage, and readability which provided a more nuanced view of the differences between the systems. While we observe encouraging results from the participating teams, we conclude that there is still significant room left for improving summarization leveraging multiple references. Our dataset is available at \url{https://github.com/allenai/mup}.",
}
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%0 Conference Proceedings
%T Overview of the First Shared Task on Multi Perspective Scientific Document Summarization (MuP)
%A Cohan, Arman
%A Feigenblat, Guy
%A Ghosal, Tirthankar
%A Shmueli-Scheuer, Michal
%Y Cohan, Arman
%Y Feigenblat, Guy
%Y Freitag, Dayne
%Y Ghosal, Tirthankar
%Y Herrmannova, Drahomira
%Y Knoth, Petr
%Y Lo, Kyle
%Y Mayr, Philipp
%Y Shmueli-Scheuer, Michal
%Y de Waard, Anita
%Y Wang, Lucy Lu
%S Proceedings of the Third Workshop on Scholarly Document Processing
%D 2022
%8 October
%I Association for Computational Linguistics
%C Gyeongju, Republic of Korea
%F cohan-etal-2022-overview-first
%X We present the main findings of MuP 2022 shared task, the first shared task on multi-perspective scientific document summarization. The task provides a testbed representing challenges for summarization of scientific documents, and facilitates development of better models to leverage summaries generated from multiple perspectives. We received 139 total submissions from 9 teams. We evaluated submissions both by automated metrics (i.e., Rouge) and human judgments on faithfulness, coverage, and readability which provided a more nuanced view of the differences between the systems. While we observe encouraging results from the participating teams, we conclude that there is still significant room left for improving summarization leveraging multiple references. Our dataset is available at https://github.com/allenai/mup.
%U https://aclanthology.org/2022.sdp-1.32
%P 263-267
Markdown (Informal)
[Overview of the First Shared Task on Multi Perspective Scientific Document Summarization (MuP)](https://aclanthology.org/2022.sdp-1.32) (Cohan et al., sdp 2022)
ACL