Overview of the First Shared Task on Multi-Perspective Scientific Document Summarization (MuP)

Arman Cohan, Guy Feigenblat, Tirthankar Ghosal, Michal Shmueli-Scheuer

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

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.

Original languageEnglish
Pages (from-to)263-267
Number of pages5
JournalProceedings - International Conference on Computational Linguistics, COLING
Volume29
Issue number9
StatePublished - 2022
Externally publishedYes
Event3rd Workshop on Scholarly Document Processing, SDP 2022 at 29th International Conference on Computational Linguistics, COLING 2022 - Gyeongju, Korea, Republic of
Duration: 12 Oct 202217 Oct 2022

Bibliographical note

Publisher Copyright:
© 2022 COLING. All Rights Reserved.

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