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 language | English |
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Pages (from-to) | 263-267 |
Number of pages | 5 |
Journal | Proceedings - International Conference on Computational Linguistics, COLING |
Volume | 29 |
Issue number | 9 |
State | Published - 2022 |
Externally published | Yes |
Event | 3rd Workshop on Scholarly Document Processing, SDP 2022 at 29th International Conference on Computational Linguistics, COLING 2022 - Gyeongju, Korea, Republic of Duration: Oct 12 2022 → Oct 17 2022 |