Papers › Document Summarization with Text Segmentation
Document Summarization with Text Segmentation
Lesly Miculicich, Benjamin Han
In this paper, we exploit the innate document segment structure for improving the extractive summarization task. We build two text segmentation models and find the most optimal strategy to introduce their output predictions in an extractive summarization model. Experimental results on a corpus of scientific articles show that extractive summarization benefits from using a highly accurate segmentation method. In particular, most of the improvement is in documents where the most relevant information is not at the beginning thus, we conclude that segmentation helps in reducing the lead bias problem.
Code
No code repository is listed for this paper in the archive or in Syntology's graph.
Code Syntology ran Syntology
Not run by Syntology. Nothing on this page verifies that the listed code works.
Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Text Summarization | Arxiv HEP-TH citation graph | ExtSum + oracle segmentation (extractive) | ROUGE-1 | 49.49 | #4 of 28 | Archive leaderboard | report |
| Text Summarization | Arxiv HEP-TH citation graph | ExtSum + oracle segmentation (extractive) | ROUGE-2 | 21.04 | #4 of 28 | Archive leaderboard | report |
| Text Summarization | Arxiv HEP-TH citation graph | ExtSum + oracle segmentation (extractive) | ROUGE-L | 44.34 | #4 of 28 | Archive leaderboard | report |
| Text Summarization | Arxiv HEP-TH citation graph | ExtSum + supervised segmentation (extractive) | ROUGE-1 | 49.11 | #6 of 28 | Archive leaderboard | report |
| Text Summarization | Arxiv HEP-TH citation graph | ExtSum + supervised segmentation (extractive) | ROUGE-2 | 20.68 | #6 of 28 | Archive leaderboard | report |
| Text Summarization | Arxiv HEP-TH citation graph | ExtSum + supervised segmentation (extractive) | ROUGE-L | 44.01 | #6 of 28 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
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