Browse State-of-the-Art › Scientific Document Summarization
Scientific Document Summarization
9 papers with code · 1 benchmark · 7 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| CL-SciSumm (1 row) | GCN Hybrid | ScisummNet: A Large Annotated Corpus and Content-Impact Models for... | code | Syntology ran 1 of 1 samples · 0 unverified | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
7 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
1 subtask in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
9 shown of 9 papers with code (22 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
-
16 May 2024 1 repository listedThe long input hinders the simultaneous effective modeling of both global high-order relations between sentences and local intra-sentence relations which is the most critical step in extractive summarization.
-
18 Oct 2022 1 repository listedLay summarisation aims to jointly summarise and simplify a given text, thus making its content more comprehensible to non-experts.
-
1 Oct 2022 1 repository listedWe present the main findings of MuP 2022 shared task, the first shared task on multi-perspective scientific document summarization.
-
1 Oct 2022 1 repository listedThe MuP-2022 shared task focuses on multiperspective scientific document summarization.
-
1 May 2022 1 repository listedWe study the zero-shot setting for the aspect-based scientific document summarization task.
-
19 Oct 2020 1 repository listedLay summarization aims to generate lay summaries of scientific papers automatically.
-
4 Sep 2019 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)Scientific article summarization is challenging: large, annotated corpora are not available, and the summary should ideally include the article's impacts on research community.
-
2 Sep 2019 1 repository listedThis overview describes the official results of the CL-SciSumm Shared Task 2018 -- the first medium-scale shared task on scientific document summarization in the computational linguistics (CL) domain.
-
23 Jul 2019 1 repository listedAll papers are from the open access research papers in the CL domain.
Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections