DUC 2004
The DUC2004 dataset is a dataset for document summarization. Is designed and used for testing only. It consists of 500 news articles, each paired with four human written summaries. Specifically it consists of 50 clusters of Text REtrieval Conference (TREC) documents, from the following collections: AP newswire, 1998-2000; New York Times newswire, 1998-2000; Xinhua News Agency (English version), 1996-2000. Each cluster contained on average 10 documents.
Source: Discrete Optimization for Unsupervised Sentence Summarization with Word-Level ExtractionBenchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
|---|---|---|---|---|---|
|
DUC 2004 Task 1
|
Transformer+WDrop
|
|||
|
DUC 2004
|
GCN: Personalized Discourse Graph
|
|||
|
DUC 2004 Task 1
|
Abs
|
|||
|
DUC 2004
|
Pre-training-meets-Clustering-A-Hybrid-Extractive-Multi-Document-Summarization-Model
|
Papers
| Paper | Code | Results | Date | Stars |
|---|
Dataset Loaders
No data loaders found. You can
submit your data loader here.
No data loaders found. You can
submit your data loader here.
